还是有色块的中间版本

libs/MVS/SceneTexture.cpp

@@ -111,7 +111,13 @@ struct TRWSInference {
 	typedef MRFEnergy<TypePotts>::Options MRFOptions;
 
 	CAutoPtr<MRFEnergyType> mrf;
-	CAutoPtrArr<MRFEnergyType::NodeId> nodes;
+	CAutoPtrArr<MRFEnerg
+
+void MeshTexture::ApplyColorConsistencyOptimization(
+	Image8U3& texture,
+	const std::vector<std::vector<PixelSample>>& pixelSamples,
+	int textureSize,
+	PyType::NodeId> nodes;
 
 	inline TRWSInference() {}
 	void Init(NodeID nNodes, LabelID nLabels) {
@@ -186,6 +192,14 @@ struct PatchQualityInfo {
 	std::vector<float> faceQualities;
 };
 
+
+// 在函数外部定义 PixelSample
+struct PixelSample {
+    cv::Vec3f color;  // 颜色（BGR格式）
+    float weight;     // 权重
+    IIndex viewIdx;   // 视图索引
+};
+
 std::vector<PatchQualityInfo> patchQualityInfos;
 
 struct MeshTexture {
@@ -593,6 +607,12 @@ public:
     unsigned nTextureSizeMultiple,
     Pixel8U colEmpty,
     float fSharpnessWeight);
+	void FillTextureGaps(Image8U3& texture, Pixel8U colEmpty);
+	void ApplyColorConsistencyOptimization(
+		Image8U3& texture,
+		const std::vector<std::vector<PixelSample>>& pixelSamples,
+		int textureSize,
+		Pixel8U colEmpty);
 	void ApplyGlobalColorCorrection(Image8U3& texture, Pixel8U colEmpty, float strength);
 	void ApplySoftSharpening(Image8U3& texture, float strength, Pixel8U colEmpty);
 	Mesh::Image8U3Arr GenerateTextureAtlasFromUV(
@@ -13703,6 +13723,129 @@ bool MeshTexture::TextureWithExistingUV(
     return false;
 }
 
+void MeshTexture::FillTextureGaps(Image8U3& texture, Pixel8U colEmpty) {
+    if (texture.empty()) return;
+    
+    cv::Mat textureMat = (cv::Mat&)texture;
+    
+    // 创建掩码
+    cv::Mat mask = cv::Mat::zeros(texture.rows, texture.cols, CV_8UC1);
+    for (int y = 0; y < texture.rows; ++y) {
+        for (int x = 0; x < texture.cols; ++x) {
+            if (texture(y, x) != colEmpty) {
+                mask.at<uchar>(y, x) = 255;
+            }
+        }
+    }
+    
+    // 使用图像修复算法填充空隙
+    cv::Mat inpainted;
+    cv::inpaint(textureMat, mask, inpainted, 3, cv::INPAINT_NS);
+    
+    // 只替换空区域
+    for (int y = 0; y < texture.rows; ++y) {
+        for (int x = 0; x < texture.cols; ++x) {
+            if (texture(y, x) == colEmpty) {
+                cv::Vec3b color = inpainted.at<cv::Vec3b>(y, x);
+                Pixel8U pixel;
+                pixel.b = color[0];
+                pixel.g = color[1];
+                pixel.r = color[2];
+                texture(y, x) = pixel;
+            }
+        }
+    }
+}
+
+void MeshTexture::ApplyColorConsistencyOptimization(
+	Image8U3& texture,
+	const std::vector<std::vector<PixelSample>>& pixelSamples,
+	int textureSize,
+	Pixel8U colEmpty)
+{
+    if (pixelSamples.empty()) return;
+    
+    cv::Mat textureMat = (cv::Mat&)texture;
+    
+    // 创建临时的颜色缓冲区
+    cv::Mat3f newColor(texture.rows, texture.cols, cv::Vec3f(0, 0, 0));
+    cv::Mat1f newWeight(texture.rows, texture.cols, 0.0f);
+    
+    // 计算邻域颜色一致性
+    const int kernelSize = 3;
+    const int halfKernel = kernelSize / 2;
+    
+    for (int y = halfKernel; y < texture.rows - halfKernel; ++y) {
+        for (int x = halfKernel; x < texture.cols - halfKernel; ++x) {
+            int pixelIdx = y * textureSize + x;
+            const auto& samples = pixelSamples[pixelIdx];
+            
+            if (samples.empty()) continue;
+            
+            // 收集邻域颜色
+            std::vector<cv::Vec3f> neighborColors;
+            for (int dy = -halfKernel; dy <= halfKernel; ++dy) {
+                for (int dx = -halfKernel; dx <= halfKernel; ++dx) {
+                    int nx = x + dx;
+                    int ny = y + dy;
+                    int neighborIdx = ny * textureSize + nx;
+                    
+                    if (!pixelSamples[neighborIdx].empty()) {
+                        // 获取当前像素颜色
+                        Pixel8U pixel = texture(ny, nx);
+                        if (pixel != colEmpty) {
+                            neighborColors.push_back(cv::Vec3f(pixel.b, pixel.g, pixel.r));
+                        }
+                    }
+                }
+            }
+            
+            if (neighborColors.size() < 3) continue;  // 需要足够的邻域信息
+            
+            // 计算颜色统计
+            cv::Vec3f mean(0, 0, 0);
+            for (const auto& color : neighborColors) {
+                mean += color;
+            }
+            mean /= (float)neighborColors.size();
+            
+            // 计算方差
+            cv::Vec3f variance(0, 0, 0);
+            for (const auto& color : neighborColors) {
+                cv::Vec3f diff = color - mean;
+                variance[0] += diff[0] * diff[0];
+                variance[1] += diff[1] * diff[1];
+                variance[2] += diff[2] * diff[2];
+            }
+            variance /= (float)neighborColors.size();
+            
+            // 获取当前像素颜色
+            Pixel8U currentPixel = texture(y, x);
+            cv::Vec3f currentColor(currentPixel.b, currentPixel.g, currentPixel.r);
+            
+            // 计算颜色调整
+            const float alpha = 0.3f;  // 调整强度
+            cv::Vec3f adjustedColor = currentColor;
+            
+            // 如果颜色差异较大，向邻域均值调整
+            cv::Vec3f diff = currentColor - mean;
+            float diffMag = std::sqrt(diff[0]*diff[0] + diff[1]*diff[1] + diff[2]*diff[2]);
+            
+            if (diffMag > 10.0f) {  // 颜色差异阈值
+                adjustedColor = currentColor * (1.0f - alpha) + mean * alpha;
+            }
+            
+            // 应用调整
+            Pixel8U newPixel;
+            newPixel.r = (unsigned char)cv::saturate_cast<uchar>(adjustedColor[2]);
+            newPixel.g = (unsigned char)cv::saturate_cast<uchar>(adjustedColor[1]);
+            newPixel.b = (unsigned char)cv::saturate_cast<uchar>(adjustedColor[0]);
+            
+            texture(y, x) = newPixel;
+        }
+    }
+}
+
 Mesh::Image8U3Arr MeshTexture::GenerateTextureAtlasWith3DBridge(
     const LabelArr& faceLabels,
     const IIndexArr& views,
@@ -13713,7 +13856,10 @@ Mesh::Image8U3Arr MeshTexture::GenerateTextureAtlasWith3DBridge(
     Pixel8U colEmpty,
     float fSharpnessWeight)
 {
-    DEBUG_EXTRA("GenerateTextureAtlasWith3DBridge - 使用3D几何坐标作为桥梁，修复白平衡问题");
+    DEBUG_EXTRA("GenerateTextureAtlasWith3DBridge - 使用3D几何坐标和多视图融合");
+    
+    // 定义INVALID_INDEX常量
+    const IIndex INVALID_INDEX = (IIndex)-1;
     
     // 1. 分析外部UV布局
     AABB2f uvBounds(true);
@@ -13746,9 +13892,6 @@ Mesh::Image8U3Arr MeshTexture::GenerateTextureAtlasWith3DBridge(
     
     // 使用统一的背景色设置
     DEBUG_EXTRA("设置背景色: RGB(%d,%d,%d)", colEmpty.r, colEmpty.g, colEmpty.b);
-    
-    // 注意：Image8U3的setTo使用cv::Scalar，是BGR顺序
-    // 但colEmpty是RGB顺序，需要转换
     cv::Scalar cvEmpty(colEmpty.b, colEmpty.g, colEmpty.r);
     textureAtlas.setTo(cvEmpty);
     
@@ -13757,38 +13900,81 @@ Mesh::Image8U3Arr MeshTexture::GenerateTextureAtlasWith3DBridge(
                 uvBounds.ptMin.x(), uvBounds.ptMin.y(), 
                 uvBounds.ptMax.x(), uvBounds.ptMax.y());
     
-    // 2. 为每个视图创建颜色统计
+    std::vector<std::vector<PixelSample>> pixelSamples(textureSize * textureSize);
-    std::vector<cv::Vec3d> viewColorSums(images.size(), cv::Vec3d(0, 0, 0));
-    std::vector<int> viewPixelCounts(images.size(), 0);
-    std::vector<std::vector<cv::Vec3b>> viewColorSamples(images.size());
     
-    // 3. 第一次遍历：收集每个视图的颜色统计
+    // 3. 第一次遍历：收集所有视图的采样
-    DEBUG_EXTRA("第一次遍历：收集视图颜色统计");
+    DEBUG_EXTRA("第一次遍历：收集多视图采样");
+    int totalSamples = 0;
     
     #ifdef _USE_OPENMP
-    #pragma omp parallel for schedule(dynamic)
+    #pragma omp parallel for schedule(dynamic) reduction(+:totalSamples)
     #endif
     for (int_t idxFace = 0; idxFace < (int_t)scene.mesh.faces.size(); ++idxFace) {
         const FIndex faceID = (FIndex)idxFace;
         const Label label = faceLabels[faceID];
         
         if (label == 0) continue;
-        const IIndex idxView = label - 1;
+        const IIndex primaryView = label - 1;
-        if (idxView >= images.size()) continue;
+        if (primaryView >= images.size()) continue;
         
-        const Image& sourceImage = images[idxView];
         const TexCoord* meshUVs = &scene.mesh.faceTexcoords[faceID * 3];
         const Face& face = scene.mesh.faces[faceID];
+        const Image& sourceImage = images[primaryView];
+        
+        // 计算面法线
+        Vertex v0 = vertices[face[1]] - vertices[face[0]];
+        Vertex v1 = vertices[face[2]] - vertices[face[0]];
+        Vertex crossProduct = v0.cross(v1);
+        double normVal = cv::norm(crossProduct);
+        Vertex normal(0, 0, 1);  // 默认法向量
+        if (normVal > 0) {
+            normal = crossProduct / (float)normVal;  // 归一化
+        }
         
-        // 在面的中心采样几个点
+        // 计算面的UV边界
-        for (int i = 0; i < 3; ++i) {  // 采样三个顶点
+        AABB2f faceBounds(true);
-            const Vertex& worldPoint = vertices[face[i]];
+        for (int i = 0; i < 3; ++i) {
+            faceBounds.InsertFull(meshUVs[i]);
+        }
+        
+        int startX = (int)(faceBounds.ptMin.x() * textureSize);
+        int startY = (int)(faceBounds.ptMin.y() * textureSize);
+        int endX = (int)(faceBounds.ptMax.x() * textureSize);
+        int endY = (int)(faceBounds.ptMax.y() * textureSize);
+        
+        startX = std::max(0, std::min(startX, textureSize - 1));
+        startY = std::max(0, std::min(startY, textureSize - 1));
+        endX = std::max(0, std::min(endX, textureSize - 1));
+        endY = std::max(0, std::min(endY, textureSize - 1));
+        
+        if (startX >= endX || startY >= endY) continue;
+        
+        // 采样密度
+        const int sampleStep = 1;  // 每个像素都采样
+        int faceSamples = 0;
+        
+        for (int y = startY; y <= endY; y += sampleStep) {
+            for (int x = startX; x <= endX; x += sampleStep) {
+                const Point2f texCoord((x + 0.5f) / textureSize, (y + 0.5f) / textureSize);
+                
+                // 计算重心坐标
+                Point3f barycentric;
+                if (!PointInTriangle(texCoord, meshUVs[0], meshUVs[1], meshUVs[2], barycentric)) {
+                    continue;
+                }
+                
+                // 计算3D点
+                const Vertex worldPoint = 
+                    vertices[face[0]] * barycentric.x + 
+                    vertices[face[1]] * barycentric.y + 
+                    vertices[face[2]] * barycentric.z;
                 
                 // 检查3D点是否在相机前方
                 if (!sourceImage.camera.IsInFront(worldPoint)) {
                     continue;
                 }
                 
+                // 投影到图像
                 Point2f imgPoint = sourceImage.camera.ProjectPointP(worldPoint);
                 
                 // 确保在图像范围内
@@ -13800,77 +13986,179 @@ Mesh::Image8U3Arr MeshTexture::GenerateTextureAtlasWith3DBridge(
                 // 采样图像
                 Pixel8U sampledColor = SampleImageBilinear(sourceImage.image, imgPoint);
                 
-            // 存储采样颜色
+                // 计算权重
+                float weight = 1.0f;  // 默认权重
+                
+                // 计算第一个顶点在图像上的投影（用于分辨率计算）
+                Point2f proj0 = sourceImage.camera.ProjectPointP(vertices[face[0]]);
+                
+                // 计算到相机中心的距离
+                Vertex cameraPos(sourceImage.camera.C.x, sourceImage.camera.C.y, sourceImage.camera.C.z);
+                float dist = cv::norm(cameraPos - worldPoint);
+                
+                // 计算视角与法线夹角
+                Vertex viewDir = cameraPos - worldPoint;
+                float viewDirNorm = cv::norm(viewDir);
+                if (viewDirNorm > 0) {
+                    viewDir = viewDir / viewDirNorm;
+                    float viewAngle = std::abs(viewDir.dot(normal));
+                    
+                    // 计算分辨率
+                    float resolution = 1.0f;
+                    double projDist = cv::norm(imgPoint - proj0);
+                    if (projDist > 1e-6) {
+                        resolution = 1.0f / (float)projDist;
+                    }
+                    
+                    // 综合权重 = 视角质量 * 分辨率
+                    weight = viewAngle * resolution;
+                    
+                    // 添加距离衰减
+                    float distFactor = std::exp(-dist * 0.001f);
+                    weight *= distFactor;
+                    
+                    // 限制权重范围
+                    weight = std::max(0.5f, std::min(2.0f, weight));
+                }
+                
+                // 存储采样
+                int pixelIdx = y * textureSize + x;
+                PixelSample sample;
+                sample.color = cv::Vec3f(sampledColor.b, sampledColor.g, sampledColor.r);  // 转换为BGR
+                sample.weight = weight;
+                sample.viewIdx = primaryView;
+                
                 #ifdef _USE_OPENMP
                 #pragma omp critical
                 #endif
                 {
-                viewColorSamples[idxView].push_back(cv::Vec3b(sampledColor.b, sampledColor.g, sampledColor.r));
+                    pixelSamples[pixelIdx].push_back(sample);
+                }
+                
+                faceSamples++;
             }
         }
+        
+        totalSamples += faceSamples;
     }
     
-    // 4. 计算每个视图的颜色调整因子
+    DEBUG_EXTRA("采样完成: 总采样点 %d", totalSamples);
-    std::vector<cv::Vec3d> viewColorAdjustments(images.size(), cv::Vec3d(1.0, 1.0, 1.0));
-    cv::Vec3d globalMean(0, 0, 0);
-    int globalSampleCount = 0;
     
-    for (size_t i = 0; i < images.size(); ++i) {
+    // 4. 第二次遍历：从其他视图补充采样
-        if (viewColorSamples[i].empty()) continue;
+    DEBUG_EXTRA("第二次遍历：从其他视图补充采样");
     
-        cv::Vec3d sum(0, 0, 0);
+    // 找出每个面的其他可见视图
-        for (const auto& pixel : viewColorSamples[i]) {
+    std::vector<std::vector<IIndex>> faceVisibleViews(scene.mesh.faces.size());
-            sum[0] += pixel[0];  // B
+    
-            sum[1] += pixel[1];  // G
+    #ifdef _USE_OPENMP
-            sum[2] += pixel[2];  // R
+    #pragma omp parallel for schedule(dynamic)
+    #endif
+    for (int_t idxFace = 0; idxFace < (int_t)scene.mesh.faces.size(); ++idxFace) {
+        const FIndex faceID = (FIndex)idxFace;
+        const Face& face = scene.mesh.faces[faceID];
+        
+        // 计算面法线
+        Vertex v0 = vertices[face[1]] - vertices[face[0]];
+        Vertex v1 = vertices[face[2]] - vertices[face[0]];
+        Vertex crossProduct = v0.cross(v1);
+        double normVal = cv::norm(crossProduct);
+        Vertex normal(0, 0, 1);  // 默认法向量
+        if (normVal > 0) {
+            normal = crossProduct / (float)normVal;  // 归一化
+        }
+
+        // 计算面中心
+        Vertex faceCenter(0, 0, 0);
+        for (int v = 0; v < 3; ++v) {
+            faceCenter += vertices[face[v]];
         }
+        faceCenter /= 3.0f;
+
+        // 检查所有视图
+        std::vector<std::pair<float, IIndex>> viewScores;
+        for (IIndex i = 0; i < images.size(); ++i) {
+            const Image& img = images[i];
             
-        cv::Vec3d mean = sum / (double)viewColorSamples[i].size();
+            // 检查可见性
-        globalMean += sum;
+            if (!img.camera.IsInFront(faceCenter)) continue;
-        globalSampleCount += viewColorSamples[i].size();
             
-        DEBUG_EXTRA("视图 %zu: 平均颜色 B=%.1f, G=%.1f, R=%.1f, 样本数=%zu", 
+            // 计算投影点
-                   i, mean[0], mean[1], mean[2], viewColorSamples[i].size());
+            Point2f imgPoint = img.camera.ProjectPointP(faceCenter);
+            if (imgPoint.x < 0 || imgPoint.x >= img.image.cols ||
+                imgPoint.y < 0 || imgPoint.y >= img.image.rows) {
+                continue;
             }
             
-    // 计算全局平均颜色
+            // 计算视角方向
-    if (globalSampleCount > 0) {
+            Vertex cameraPos(img.camera.C.x, img.camera.C.y, img.camera.C.z);
-        globalMean /= globalSampleCount;
+            Vertex viewDirVec = cameraPos - faceCenter;
-        DEBUG_EXTRA("全局平均颜色: B=%.1f, G=%.1f, R=%.1f", 
+            float viewDirNorm = cv::norm(viewDirVec);
-                   globalMean[0], globalMean[1], globalMean[2]);
+            
+            if (viewDirNorm <= 1e-6) continue;  // 避免除以零
+            
+            Vertex viewDir = viewDirVec / viewDirNorm;
+            
+            // 计算视角质量（法线与视角方向的夹角）
+            float viewAngle = std::abs(viewDir.dot(normal));
+            
+            // 计算分辨率 - 计算两个顶点投影点之间的欧氏距离
+            Point2f proj0 = img.camera.ProjectPointP(vertices[face[0]]);
+            double projDist = cv::norm(imgPoint - proj0);
+            
+            // 如果两个投影点太近，则跳过
+            if (projDist < 1e-6) continue;
+            
+            float resolution = 1.0f / (float)projDist;
+            
+            // 综合得分
+            float score = viewAngle * resolution;
+            
+            if (score > 0.1f) {  // 阈值
+                viewScores.push_back({score, i});
+            }
         }
         
-    // 5. 采样纹理
+        // 按得分排序
-    DEBUG_EXTRA("第二次遍历：采样纹理并应用颜色校正");
+        std::sort(viewScores.begin(), viewScores.end(), 
+                 [](const auto& a, const auto& b) { return a.first > b.first; });
         
-    cv::Mat1f weightAccum(textureSize, textureSize, 0.0f);
+        // 选择前4个最佳视图
-    cv::Mat3f colorAccum(textureSize, textureSize, cv::Vec3f(0, 0, 0));
+        faceVisibleViews[idxFace].push_back(faceLabels[idxFace] - 1);  // 主视图
+        for (size_t i = 0; i < std::min(viewScores.size(), (size_t)3); ++i) {
+            if (viewScores[i].second != faceLabels[idxFace] - 1) {
+                faceVisibleViews[idxFace].push_back(viewScores[i].second);
+            }
+        }
+    }
     
-    int processedFaces = 0;
+    // 5. 从其他视图采样
-    int sampledPixels = 0;
+    int additionalSamples = 0;
-    int failedFaces = 0;
     
     #ifdef _USE_OPENMP
-    #pragma omp parallel for schedule(dynamic) reduction(+:processedFaces, sampledPixels, failedFaces)
+    #pragma omp parallel for schedule(dynamic) reduction(+:additionalSamples)
     #endif
     for (int_t idxFace = 0; idxFace < (int_t)scene.mesh.faces.size(); ++idxFace) {
         const FIndex faceID = (FIndex)idxFace;
         const Label label = faceLabels[faceID];
         
-        if (label == 0) {
+        if (label == 0) continue;
-            failedFaces++;
-            continue;
-        }
-        
-        const IIndex idxView = label - 1;
-        if (idxView >= images.size()) {
-            failedFaces++;
-            continue;
-        }
         
         const TexCoord* meshUVs = &scene.mesh.faceTexcoords[faceID * 3];
         const Face& face = scene.mesh.faces[faceID];
-        const Image& sourceImage = images[idxView];
+        
+        // 计算面法线
+        Vertex v0 = vertices[face[1]] - vertices[face[0]];
+        Vertex v1 = vertices[face[2]] - vertices[face[0]];
+        Vertex crossProduct = v0.cross(v1);
+        double normVal = cv::norm(crossProduct);
+        Vertex normal(0, 0, 1);  // 默认法向量
+        if (normVal > 0) {
+            normal = crossProduct / (float)normVal;  // 归一化
+        }
+        
+        // 获取可见视图
+        const auto& visibleViews = faceVisibleViews[idxFace];
+        if (visibleViews.size() <= 1) continue;  // 只有一个视图
         
         // 计算面的UV边界
         AABB2f faceBounds(true);
@@ -13888,14 +14176,9 @@ Mesh::Image8U3Arr MeshTexture::GenerateTextureAtlasWith3DBridge(
         endX = std::max(0, std::min(endX, textureSize - 1));
         endY = std::max(0, std::min(endY, textureSize - 1));
         
-        if (startX >= endX || startY >= endY) {
+        if (startX >= endX || startY >= endY) continue;
-            failedFaces++;
-            continue;
-        }
-        
-        int faceSampledPixels = 0;
         
-        // 采样纹理
+        // 对每个像素，从其他视图采样
         for (int y = startY; y <= endY; ++y) {
             for (int x = startX; x <= endX; ++x) {
                 const Point2f texCoord((x + 0.5f) / textureSize, (y + 0.5f) / textureSize);
@@ -13912,15 +14195,20 @@ Mesh::Image8U3Arr MeshTexture::GenerateTextureAtlasWith3DBridge(
                     vertices[face[1]] * barycentric.y + 
                     vertices[face[2]] * barycentric.z;
                 
-                // 检查3D点是否在相机前方
+                int pixelIdx = y * textureSize + x;
-                if (!sourceImage.camera.IsInFront(worldPoint)) {
-                    continue;
-                }
                 
-                // 从原始图像采样
+                // 从其他视图采样
-                Point2f imgPoint = sourceImage.camera.ProjectPointP(worldPoint);
+                for (size_t i = 1; i < visibleViews.size(); ++i) {  // 从第2个视图开始
+                    IIndex viewIdx = visibleViews[i];
+                    if (viewIdx >= images.size()) continue;
                     
-                // 确保在图像范围内
+                    const Image& sourceImage = images[viewIdx];
+                    
+                    // 检查可见性
+                    if (!sourceImage.camera.IsInFront(worldPoint)) continue;
+                    
+                    // 投影
+                    Point2f imgPoint = sourceImage.camera.ProjectPointP(worldPoint);
                     if (imgPoint.x < 0 || imgPoint.x >= sourceImage.image.cols ||
                         imgPoint.y < 0 || imgPoint.y >= sourceImage.image.rows) {
                         continue;
@@ -13929,137 +14217,248 @@ Mesh::Image8U3Arr MeshTexture::GenerateTextureAtlasWith3DBridge(
                     // 采样图像
                     Pixel8U sampledColor = SampleImageBilinear(sourceImage.image, imgPoint);
                     
-                // 转换为BGR顺序用于颜色累加
+                    // 计算权重
-                cv::Vec3f bgrColor(
+                    float weight = 0.2f;  // 默认较低权重
-                    sampledColor.b,  // B
-                    sampledColor.g,  // G
-                    sampledColor.r   // R
-                );
-                
-                // 获取颜色调整因子
-                cv::Vec3d adjust(1.0, 1.0, 1.0);
-                if (globalSampleCount > 0) {
-                    // 计算颜色调整因子
-                    double avgGray = (globalMean[0] + globalMean[1] + globalMean[2]) / 3.0;
-                    if (avgGray > 0) {
-                        adjust[0] = globalMean[0] / avgGray;  // B调整因子
-                        adjust[1] = globalMean[1] / avgGray;  // G调整因子
-                        adjust[2] = globalMean[2] / avgGray;  // R调整因子
                     
-                        // 限制调整幅度
+                    // 计算第一个顶点在图像上的投影
-                        const double maxAdjust = 1.2;
+                    Point2f proj0 = sourceImage.camera.ProjectPointP(vertices[face[0]]);
-                        const double minAdjust = 0.833;  // 1/1.2
                     
-                        adjust[0] = std::max(minAdjust, std::min(adjust[0], maxAdjust));
+                    // 计算投影分辨率
-                        adjust[1] = std::max(minAdjust, std::min(adjust[1], maxAdjust));
+                    double projDist = cv::norm(imgPoint - proj0);
-                        adjust[2] = std::max(minAdjust, std::min(adjust[2], maxAdjust));
+                    float resolution = 1.0f;
-                    }
+                    if (projDist > 1e-6) {
+                        resolution = 1.0f / (float)projDist;
                     }
                     
-                // 应用颜色调整
+                    // 计算视角与法线夹角
-                cv::Vec3f adjustedColor = bgrColor;
+                    Vertex cameraPos(sourceImage.camera.C.x, sourceImage.camera.C.y, sourceImage.camera.C.z);
-                adjustedColor[0] *= adjust[0];  // B通道
+                    Vertex viewDir = cameraPos - worldPoint;
-                adjustedColor[1] *= adjust[1];  // G通道
+                    float viewDirNorm = cv::norm(viewDir);
-                adjustedColor[2] *= adjust[2];  // R通道
+                    if (viewDirNorm > 0) {
+                        viewDir = viewDir / viewDirNorm;
+                        float viewAngle = std::abs(viewDir.dot(normal));
                         
-                // 限制颜色范围
+                        // 综合权重 = 分辨率 * 视角角度
-                adjustedColor[0] = std::max(0.0f, std::min(255.0f, adjustedColor[0]));
+                        weight = resolution * viewAngle;
-                adjustedColor[1] = std::max(0.0f, std::min(255.0f, adjustedColor[1]));
+                        weight = std::max(0.1f, std::min(1.0f, weight * 0.5f));  // 限制权重范围
-                adjustedColor[2] = std::max(0.0f, std::min(255.0f, adjustedColor[2]));
+                    }
                     
-                // 累加颜色和权重
+                    // 存储采样
-                float weight = 1.0f;
+                    PixelSample sample;
-                float& w = weightAccum(y, x);
+                    sample.color = cv::Vec3f(sampledColor.b, sampledColor.g, sampledColor.r);
-                cv::Vec3f& c = colorAccum(y, x);
+                    sample.weight = weight;
-                
+                    sample.viewIdx = viewIdx;
-                #ifdef _USE_OPENMP
-                #pragma omp atomic
-                #endif
-                w += weight;
                     
                     #ifdef _USE_OPENMP
                     #pragma omp critical
                     #endif
                     {
-                    c[0] += adjustedColor[0] * weight;
+                        pixelSamples[pixelIdx].push_back(sample);
-                    c[1] += adjustedColor[1] * weight;
+                        additionalSamples++;
-                    c[2] += adjustedColor[2] * weight;
+                    }
+                }
+            }
+        }
+    }
+    
+    DEBUG_EXTRA("补充采样完成: 新增采样点 %d", additionalSamples);
+    
+    // 6. 融合多视图颜色
+    DEBUG_EXTRA("融合多视图颜色");
+    cv::Mat3f colorAccum(textureSize, textureSize, cv::Vec3f(0, 0, 0));
+    cv::Mat1f weightAccum(textureSize, textureSize, 0.0f);
+    cv::Mat1i sampleCount(textureSize, textureSize, 0);
+    int fusedPixels = 0;
+    
+    // 添加统计信息
+    int mainViewOnly = 0;
+    int multiViewFused = 0;
+    int highDiffCount = 0;
+    
+    for (int y = 0; y < textureSize; ++y) {
+        for (int x = 0; x < textureSize; ++x) {
+            int pixelIdx = y * textureSize + x;
+            auto& samples = pixelSamples[pixelIdx];
+            
+            if (samples.empty()) continue;
+            
+            // 分离主视图和辅助视图
+            std::vector<cv::Vec3f> mainViewColors;
+            std::vector<float> mainViewWeights;
+            std::vector<cv::Vec3f> auxiliaryColors;
+            std::vector<float> auxiliaryWeights;
+            
+            IIndex primaryView = INVALID_INDEX;
+            
+            for (const auto& sample : samples) {
+                if (primaryView == INVALID_INDEX) {
+                    primaryView = sample.viewIdx;
                 }
                 
-                faceSampledPixels++;
+                if (sample.viewIdx == primaryView) {
+                    // 主视图
+                    mainViewColors.push_back(sample.color);
+                    mainViewWeights.push_back(sample.weight);
+                } else {
+                    // 辅助视图
+                    auxiliaryColors.push_back(sample.color);
+                    auxiliaryWeights.push_back(sample.weight * 0.3f);  // 辅助视图权重更低
                 }
             }
             
-        if (faceSampledPixels > 0) {
+            if (mainViewColors.empty()) continue;
-            processedFaces++;
+            
-            sampledPixels += faceSampledPixels;
+            if (auxiliaryColors.empty()) {
+                mainViewOnly++;
             } else {
-            failedFaces++;
+                multiViewFused++;
+            }
+            
+            // 计算主视图的加权平均颜色
+            cv::Vec3f mainColor(0, 0, 0);
+            float mainWeightSum = 0.0f;
+            
+            for (size_t i = 0; i < mainViewColors.size(); ++i) {
+                mainColor += mainViewColors[i] * mainViewWeights[i];
+                mainWeightSum += mainViewWeights[i];
+            }
+            if (mainWeightSum > 0) {
+                mainColor /= mainWeightSum;
+            }
+            
+            // 如果有辅助视图，进行智能融合
+            cv::Vec3f finalColor = mainColor;
+            float finalWeight = 1.0f;
+            
+            if (!auxiliaryColors.empty()) {
+                // 计算辅助视图的加权平均颜色
+                cv::Vec3f auxColor(0, 0, 0);
+                float auxWeightSum = 0.0f;
+                
+                for (size_t i = 0; i < auxiliaryColors.size(); ++i) {
+                    auxColor += auxiliaryColors[i] * auxiliaryWeights[i];
+                    auxWeightSum += auxiliaryWeights[i];
+                }
+                if (auxWeightSum > 0) {
+                    auxColor /= auxWeightSum;
+                }
+                
+                // 计算颜色差异
+                cv::Vec3f colorDiff = mainColor - auxColor;
+                float colorDiffMag = std::sqrt(colorDiff.dot(colorDiff));
+                
+                // 如果颜色差异不大，才融合辅助视图
+                if (colorDiffMag < 30.0f) {  // 颜色差异阈值
+                    // 根据颜色差异调整融合权重
+                    float alpha = std::exp(-colorDiffMag * 0.1f);  // 差异越大，融合越少
+                    finalColor = mainColor * (1.0f - alpha) + auxColor * alpha;
+                    finalWeight = 1.0f;
+                } else {
+                    // 颜色差异太大，只使用主视图
+                    finalColor = mainColor;
+                    finalWeight = 1.0f;
+                    highDiffCount++;
+                }
+            }
+            
+            // 应用简单的颜色饱和度增强
+            float b = finalColor[0];
+            float g = finalColor[1];
+            float r = finalColor[2];
+            
+            float maxVal = std::max(r, std::max(g, b));
+            float minVal = std::min(r, std::min(g, b));
+            float delta = maxVal - minVal;
+            
+            if (delta > 5.0f) {  // 避免对灰度像素处理
+                // 增强饱和度
+                float saturationBoost = 1.2f;  // 20%饱和度增强
+                float mean = (r + g + b) / 3.0f;
+                
+                r = mean + (r - mean) * saturationBoost;
+                g = mean + (g - mean) * saturationBoost;
+                b = mean + (b - mean) * saturationBoost;
+                
+                // 限制在有效范围
+                r = std::max(0.0f, std::min(255.0f, r));
+                g = std::max(0.0f, std::min(255.0f, g));
+                b = std::max(0.0f, std::min(255.0f, b));
+                
+                finalColor = cv::Vec3f(b, g, r);
+            }
+            
+            // 存储结果
+            colorAccum(y, x) = finalColor;
+            weightAccum(y, x) = finalWeight;
+            sampleCount(y, x) = (int)samples.size();
+            fusedPixels++;
+        }
+        
+        // 输出进度
+        if (y % 100 == 0) {
+            float progress = (float)y * 100.0f / textureSize;
+            DEBUG_EXTRA("颜色融合进度: %.1f%% (处理行 %d/%d)", progress, y, textureSize);
         }
     }
     
-    DEBUG_EXTRA("纹理采样完成: 成功 %d 个面, 失败 %d 个面, 采样 %d 像素", 
+    DEBUG_EXTRA("颜色融合完成: 融合像素 %d", fusedPixels);
-                processedFaces, failedFaces, sampledPixels);
+    DEBUG_EXTRA("融合统计: 仅主视图=%d, 多视图融合=%d, 高差异=%d", 
+                mainViewOnly, multiViewFused, highDiffCount);
     
-    // 6. 应用权重归一化
+    // 7. 生成最终纹理
-    DEBUG_EXTRA("应用权重归一化");
+    DEBUG_EXTRA("生成最终纹理");
     
     for (int y = 0; y < textureSize; ++y) {
         for (int x = 0; x < textureSize; ++x) {
             float weight = weightAccum(y, x);
             if (weight > 0.0f) {
-                cv::Vec3f avgColor = colorAccum(y, x) / weight;
+                cv::Vec3f bgrColor = colorAccum(y, x);
                 
-                // 从BGR转回RGB顺序
+                // 转换为RGB顺序
-                Pixel8U finalColor;
+                Pixel8U pixel;
-                finalColor.r = (unsigned char)cv::saturate_cast<uchar>(avgColor[2]);  // R
+                pixel.r = (unsigned char)cv::saturate_cast<uchar>(bgrColor[2]);  // R
-                finalColor.g = (unsigned char)cv::saturate_cast<uchar>(avgColor[1]);  // G
+                pixel.g = (unsigned char)cv::saturate_cast<uchar>(bgrColor[1]);  // G
-                finalColor.b = (unsigned char)cv::saturate_cast<uchar>(avgColor[0]);  // B
+                pixel.b = (unsigned char)cv::saturate_cast<uchar>(bgrColor[0]);  // B
                 
-                textureAtlas(y, x) = finalColor;
+                textureAtlas(y, x) = pixel;
             } else {
                 textureAtlas(y, x) = colEmpty;
             }
         }
     }
     
-    // 7. 应用全局颜色校正
+    // 8. 应用颜色一致性优化
-    if (processedFaces > 0 && sampledPixels > 0) {
+    if (fusedPixels > 0) {
-        ApplyGlobalColorCorrection(textureAtlas, colEmpty, 0.8f);
+        DEBUG_EXTRA("应用颜色一致性优化");
+        ApplyColorConsistencyOptimization(textureAtlas, pixelSamples, textureSize, colEmpty);
     }
     
-    // 8. 锐化处理
+    // 9. 填充空白区域
-    if (fSharpnessWeight > 0 && sampledPixels > 0) {
+    // FillTextureGaps(textureAtlas, colEmpty);
-        DEBUG_EXTRA("应用锐化处理");
-        ApplySoftSharpening(textureAtlas, fSharpnessWeight, colEmpty);
-    }
     
-    // 9. 最终颜色检查
+    // 10. 应用轻微的颜色校正
-    if (!textureAtlas.empty()) {
+    if (fusedPixels > 0) {
-        cv::Scalar mean = cv::mean(textureAtlas);
+        ApplyGlobalColorCorrection(textureAtlas, colEmpty, 0.3f);
-        DEBUG_EXTRA("最终纹理平均颜色: B=%.1f, G=%.1f, R=%.1f (OpenCV BGR顺序)", 
+    }
-                   mean[0], mean[1], mean[2]);
     
-        double rSum = 0, gSum = 0, bSum = 0;
+    // 11. 锐化处理
-        int count = 0;
+    if (fSharpnessWeight > 0 && fusedPixels > 0) {
+        ApplySoftSharpening(textureAtlas, fSharpnessWeight, colEmpty);
+    }
     
-        for (int y = 0; y < textureAtlas.rows; ++y) {
+    // 12. 最终统计
-            for (int x = 0; x < textureAtlas.cols; ++x) {
+    int validPixels = 0;
-                Pixel8U pixel = textureAtlas(y, x);
+    for (int y = 0; y < textureSize; ++y) {
-                if (pixel != colEmpty) {
+        for (int x = 0; x < textureSize; ++x) {
-                    rSum += pixel.r;
+            if (textureAtlas(y, x) != colEmpty) {
-                    gSum += pixel.g;
+                validPixels++;
-                    bSum += pixel.b;
-                    count++;
             }
         }
     }
     
-        if (count > 0) {
+    DEBUG_EXTRA("纹理图集生成完成: 有效像素 %d / %d (%.2f%%)", 
-            DEBUG_EXTRA("有效像素RGB平均值: R=%.1f, G=%.1f, B=%.1f", 
+                validPixels, textureSize * textureSize, 
-                       rSum / count, gSum / count, bSum / count);
+                (float)validPixels * 100 / (textureSize * textureSize));
-        }
-    }
     
     return textures;
 }