进一步优化

libs/MVS/SceneTexture.cpp

@@ -16211,7 +16211,7 @@ void MeshTexture::ApplyGlobalSeamLevelingOnRCPatches(
 					// ★ 强制原样写入（正确图的效果）
 					localAtlas.at<cv::Vec3b>(atlasY, atlasX) = color;
 					
-					/* 
+					//* 
 					// ★ 若后续需恢复仿射，请先打印参数确认：
 					// printf("ac: kb=%.2f kg=%.2f kr=%.2f bb=%.2f bg=%.2f br=%.2f\n", ac.kb, ac.kg, ac.kr, ac.bb, ac.bg, ac.br);
 					// 注意：OpenCV 是 BGR，确保 k/bb 对应 BGR 而非 RGB
@@ -16227,7 +16227,7 @@ void MeshTexture::ApplyGlobalSeamLevelingOnRCPatches(
 					} else {
 						localAtlas.at<cv::Vec3b>(atlasY, atlasX) = color;
 					}
-					*/
+					//*/
 				}
 			}
         }
@@ -16313,7 +16313,7 @@ void MeshTexture::ApplyGlobalSeamLevelingOnRCPatches(
         
         // 对标记为接缝的像素做高斯模糊
         cv::Mat blurred;
-        cv::GaussianBlur(atlas, blurred, cv::Size(3, 3), 0.5);
+        cv::GaussianBlur(atlas, blurred, cv::Size(5, 5), 1.5);   // 更大核
         
         // 只替换接缝像素
         for (int y = 0; y < textureSize; ++y) {
@@ -16674,7 +16674,7 @@ bool MeshTexture::RasterizeVirtualFaces(
         //   GSL4 会统一做全局颜色优化，这里乘了会导致双重校正
         //   如果后续不走 GSL4 流程，可以把下面 false 改为 true 恢复
 // ============================================================
-#if 0  // ← 改为 1 可临时恢复光栅化时乘 gain
+#if 1  // ← 改为 1 可临时恢复光栅化时乘 gain
         // 应用光度校正
         const cv::Vec3f& gain = (viewID < (IIndex)m_imageGains.size()) ? m_imageGains[viewID] : cv::Vec3f(1,1,1);
         const bool applyGain = (gain != cv::Vec3f(1,1,1));
@@ -16691,7 +16691,7 @@ bool MeshTexture::RasterizeVirtualFaces(
         }
 #endif 
 
-        // 写入 atlas（最高分胜出）
+		// 写入 atlas（最高分胜出，不做过程混合）
 		#pragma omp critical (atlas_write)
 		{
 			for (int y = 0; y < patchH; ++y) {
@@ -16704,26 +16704,12 @@ bool MeshTexture::RasterizeVirtualFaces(
 					if (atlasX < 0 || atlasX >= textureSize || atlasY < 0 || atlasY >= textureSize) continue;
 					size_t idx = atlasY * textureSize + atlasX;
 
-                    // ★ 已删除错误放在这里的 m_texelPatchID.assign(...)
-
 					if (currentScore > m_texelScores[idx].score) {
-						color[0] = cv::saturate_cast<uchar>(std::min(255.0f, color[0] * 1.0f));
-						color[1] = cv::saturate_cast<uchar>(std::min(255.0f, color[1] * 1.0f));
-						color[2] = cv::saturate_cast<uchar>(std::min(255.0f, color[2] * 1.0f));
-
-                        // atlas(atlasY, atlasX) = Pixel8U{color[2], color[1], color[0]};
-						if (atlasY >= 0 && atlasY < atlas.rows && atlasX >= 0 && atlasX < atlas.cols) {
-							// 用 cv::Mat 的 at 方法，它内部有边界检查（Debug 模式下）
-							cv::Vec3b& pixel = atlas.at<cv::Vec3b>(atlasY, atlasX);
-							// pixel[0] = color[2];
-							// pixel[1] = color[1];
-							// pixel[2] = color[0];
-
-							pixel = color; // 原样写入，不再交换
-						}
+						// 原样写入，不做任何混合
+						atlas.at<cv::Vec3b>(atlasY, atlasX) = color;
 						m_texelScores[idx].score = currentScore;
 						m_texelScores[idx].viewID = viewID;
-                        m_texelPatchID[idx] = i; // ★ 记录这个像素属于 patch i
+						m_texelPatchID[idx] = i;
 					}
 				}
 			}
@@ -16817,6 +16803,77 @@ bool MeshTexture::RasterizeVirtualFaces(
 
 	// AlignPatchColors(atlas, m_texelPatchID, textureSize);
 	// FeatherTextureSeams(atlas, m_texelPatchID, textureSize, 3);
+	// ★★★ 后处理：接缝平滑 ★★★
+	{
+		Image8U3 smoothSrc = atlas.clone();
+		int seamPixelCount = 0;
+		
+		for (int y = 1; y < textureSize - 1; ++y) {
+			for (int x = 1; x < textureSize - 1; ++x) {
+				size_t centerIdx = y * textureSize + x;
+				int centerPatch = m_texelPatchID[centerIdx];
+				if (centerPatch == NO_ID) continue;
+				
+				// 检查 4 邻域是否有不同 patch
+				bool isSeam = false;
+				int neighbors[4] = {
+					m_texelPatchID[(y-1) * textureSize + x],
+					m_texelPatchID[(y+1) * textureSize + x],
+					m_texelPatchID[y * textureSize + (x-1)],
+					m_texelPatchID[y * textureSize + (x+1)]
+				};
+				
+				for (int k = 0; k < 4; ++k) {
+					if (neighbors[k] != NO_ID && neighbors[k] != centerPatch) {
+						isSeam = true;
+						break;
+					}
+				}
+				
+				if (isSeam) {
+					cv::Vec3i sum(0, 0, 0);
+					int count = 0;
+					
+					for (int dy = -1; dy <= 1; ++dy) {
+						for (int dx = -1; dx <= 1; ++dx) {
+							int nx = x + dx, ny = y + dy;
+							if (nx < 0 || nx >= textureSize || ny < 0 || ny >= textureSize) continue;
+							
+							size_t nidx = ny * textureSize + nx;
+							int nPatch = m_texelPatchID[nidx];
+							
+							if (nPatch != NO_ID && nPatch != centerPatch) {
+								cv::Vec3b nc = smoothSrc.at<cv::Vec3b>(ny, nx);
+								sum[0] += nc[0];
+								sum[1] += nc[1];
+								sum[2] += nc[2];
+								count++;
+							}
+						}
+					}
+					
+					if (count > 0) {
+						cv::Vec3b avg(
+							cv::saturate_cast<uchar>(sum[0] / count),
+							cv::saturate_cast<uchar>(sum[1] / count),
+							cv::saturate_cast<uchar>(sum[2] / count)
+						);
+						
+						cv::Vec3b original = smoothSrc.at<cv::Vec3b>(y, x);
+						
+						// 混合：50% 原始 + 50% 邻居平均
+						atlas.at<cv::Vec3b>(y, x) = cv::Vec3b(
+							cv::saturate_cast<uchar>(original[0] * 0.5f + avg[0] * 0.5f),
+							cv::saturate_cast<uchar>(original[1] * 0.5f + avg[1] * 0.5f),
+							cv::saturate_cast<uchar>(original[2] * 0.5f + avg[2] * 0.5f)
+						);
+						seamPixelCount++;
+					}
+				}
+			}
+		}
+		DEBUG_EXTRA("Post-process seam smoothing done: %d seam pixels processed.", seamPixelCount);
+	}	
     return true;
 }
 
@@ -18013,20 +18070,57 @@ int MeshTexture::ComputeOptimalTextureSizeAdaptive(
 cv::Vec3f MeshTexture::SampleFaceCenterColor(IIndex vid, const Point3f& faceCenter) {
     const Image& img = images[vid];
     if (img.image.empty()) return cv::Vec3f(-1, -1, -1);
+    
     Point2f proj = img.camera.ProjectPoint(Point3d(faceCenter));
-    int px = (int)(proj.x + 0.5f), py = (int)(proj.y + 0.5f);
-    if (px < 0 || py < 0 || px >= img.image.cols || py >= img.image.rows)
+    int cx = (int)(proj.x + 0.5f), cy = (int)(proj.y + 0.5f);
+    
+    // ★★★ 3x3 区域平均采样 ★★★
+    cv::Vec3f sum(0, 0, 0);
+    int validCount = 0;
+    
+    for (int dy = -1; dy <= 1; ++dy) {
+        for (int dx = -1; dx <= 1; ++dx) {
+            int sx = cx + dx;
+            int sy = cy + dy;
+            
+            // 边界检查
+            if (sx < 0 || sx >= img.image.cols || sy < 0 || sy >= img.image.rows)
+                continue;
+            
+            const cv::Vec3b& c = img.image.at<cv::Vec3b>(sy, sx);
+            
+            // 跳过黑色/无效像素（假设纯黑(0,0,0)为无效）
+            if (c[0] == 0 && c[1] == 0 && c[2] == 0)
+                continue;
+            
+            sum[0] += c[2];  // B→R
+            sum[1] += c[1];  // G→G
+            sum[2] += c[0];  // R→B
+            validCount++;
+        }
+    }
+    
+    // 如果 3x3 区域内全部无效，退回单点采样
+    if (validCount == 0) {
+        if (cx < 0 || cy < 0 || cx >= img.image.cols || cy >= img.image.rows)
             return cv::Vec3f(-1, -1, -1);
-    const cv::Vec3b& c = img.image.at<cv::Vec3b>(py, px);
-    return cv::Vec3f(c[2]/255.0f, c[1]/255.0f, c[0]/255.0f);  // BGR→RGB, normalize
+        const cv::Vec3b& c = img.image.at<cv::Vec3b>(cy, cx);
+        if (c[0] == 0 && c[1] == 0 && c[2] == 0)
+            return cv::Vec3f(-1, -1, -1);
+        return cv::Vec3f(c[2]/255.0f, c[1]/255.0f, c[0]/255.0f);
+    }
+    
+    // 返回归一化的平均值
+    return cv::Vec3f(
+        sum[0] / (validCount * 255.0f),
+        sum[1] / (validCount * 255.0f),
+        sum[2] / (validCount * 255.0f)
+    );
 }
 
 // ============================================================
 // 5. SelectBestViewsForVirtualFaces（修复版）
 // ============================================================
-// ============================================================
-// 5. SelectBestViewsForVirtualFaces（局部采样颜色版）
-// ============================================================
 // 前置条件：MeshTexture 类中需声明并定义 SampleFaceCenterColor：
 //   cv::Vec3f SampleFaceCenterColor(IIndex vid, const Point3f& faceCenter) const;
 // 实现见下方附录
@@ -18253,17 +18347,22 @@ bool MeshTexture::SelectBestViewsForVirtualFaces(
                            - 0.1f * s_occlusion;
             float score = rawScore;
 
-            // ========== 颜色一致性代价（局部采样版）==========
+// ========== 颜色一致性代价（动态阈值版）==========
 {
-                const float lambda = 1.0f;  // 从 100 降到 0.5
+    // ★ 判断是否为头发区域（法线朝下 + 位置偏高）
+    bool isHair = (faceNormal.y < -0.3f);  // 法线向下，典型头发区域
+    // 可根据模型调整：也可加 faceCenter.y > 某个高度阈值
+    
+    // ★ 动态参数：头发区域放宽限制
+    float dynamicLambda = isHair ? 60.0f : 120.0f;
+    float dynamicMaxDiff = isHair ? 40.0f : 18.0f;  // 头发放宽到 40
 
-                // 采样当前候选视图下面中心的颜色
+    // 采样当前候选视图下面中心的颜色（3x3 平均已在 SampleFaceCenterColor 中实现）
     cv::Vec3f candidateColor = SampleFaceCenterColor(vid, faceCenter);
     if (candidateColor[0] < 0) {
-                    // 投影失败，跳过颜色代价但不 return
-                    // 保持 score 不变
+        // 投影失败，跳过颜色代价
     } else {
-                    // 收集邻居颜色：已分配的面，采样邻居面中心在邻居视图下的颜色
+        // 收集邻居颜色
         std::vector<cv::Vec3f> neighborColors;
         if (!scene.mesh.faceFaces.empty() && faceID < scene.mesh.faceFaces.size()) {
             const Mesh::FaceFaces& topoNeighbors = scene.mesh.faceFaces[faceID];
@@ -18279,7 +18378,6 @@ bool MeshTexture::SelectBestViewsForVirtualFaces(
                 }
                 if (nbView == NO_ID || nbView >= (IIndex)images.size()) continue;
 
-                            // 计算邻居面中心
                 const Mesh::Face& nbFace = scene.mesh.faces[nb];
                 Point3f nbCenter = (scene.mesh.vertices[nbFace[0]] +
                                    scene.mesh.vertices[nbFace[1]] +
@@ -18294,23 +18392,32 @@ bool MeshTexture::SelectBestViewsForVirtualFaces(
 
         float colorDiff = 0.0f;
         if (!neighborColors.empty()) {
+            // ★ 使用中位数代替平均，抗高光干扰
+            std::vector<float> diffs;
             for (const auto& nc : neighborColors) {
                 cv::Vec3f d = candidateColor - nc;
-                            colorDiff += std::sqrt(d[0]*d[0] + d[1]*d[1] + d[2]*d[2]);
+                diffs.push_back(std::sqrt(d[0]*d[0] + d[1]*d[1] + d[2]*d[2]));
             }
-                        colorDiff = colorDiff / neighborColors.size();
-                        colorDiff = std::min(colorDiff, 1.0f);
+            std::sort(diffs.begin(), diffs.end());
+            colorDiff = diffs[diffs.size() / 2];  // 中位数
             
-                        score -= lambda * colorDiff;
+            // ★ 平滑惩罚：平方衰减，小差异不罚，大差异渐重
+            float normDiff = std::min(colorDiff / dynamicMaxDiff, 1.0f);
+            score -= dynamicLambda * normDiff * normDiff;
+            
+            // ★ 极端的才重罚（避免硬截断导致碎片）
+            if (colorDiff > dynamicMaxDiff * 1.8f) {
+                score -= 300.0f;
             }
         }
 
-                // ---- 调试日志（前20个面 + 每5万面）----
+        // ---- 调试日志 ----
         static int g_dbg = 0;
         g_dbg++;
         if (g_dbg <= 20 || faceID % 50000 == 0) {
-                    VERBOSE("[Score] face=%d view=%d rawScore=%.3f finalScore=%.3f",
-                            faceID, vid, rawScore, score);
+            VERBOSE("[Score] face=%d view=%d rawScore=%.3f finalScore=%.3f colorDiff=%.1f isHair=%d",
+                    faceID, vid, rawScore, score, colorDiff, (int)isHair);
+        }
     }
 }
 // ========== 颜色代价结束 ==========
@@ -18334,8 +18441,8 @@ bool MeshTexture::SelectBestViewsForVirtualFaces(
         }
     }
 
-    // ---------- 2. 改进的 Patch 一致性传播 ----------
-    const int PROPAGATION_ITER = 6;
+	// ---------- 2. 改进的 Patch 一致性传播（削弱版）----------
+	const int PROPAGATION_ITER = 3;  // 从 6 降为 3，减少过度平滑
 	for (int iter = 0; iter < PROPAGATION_ITER; ++iter) {
 		std::vector<IIndex> newFaceToView = faceToView;
 		std::vector<float> newFaceScores = faceScores;
@@ -18347,7 +18454,8 @@ bool MeshTexture::SelectBestViewsForVirtualFaces(
 			const Mesh::FaceFaces& neighbors = scene.mesh.faceFaces[fid];
 			float currentScore = faceScores[fid];
 
-            if (currentScore > 0.95f) continue;
+			// ★ 提高跳过门槛：高分面片不参与传播
+			if (currentScore > 0.85f) continue;  // 原 0.95，降低到 0.85
 
 			std::unordered_map<IIndex, int> vote;
 			vote[faceToView[fid]] = 1;
@@ -18381,7 +18489,8 @@ bool MeshTexture::SelectBestViewsForVirtualFaces(
 				}
 				if (count > 0) majorityAvgScore /= count;
 
-                if (majorityAvgScore > currentScore - 0.5f) {
+				// ★ 提高切换门槛：多数派质量必须明显更好才切换
+				if (majorityAvgScore > currentScore - 0.2f && majorityAvgScore > 0.75f) {
 					newFaceToView[fid] = majorityView;
 					newFaceScores[fid] = majorityAvgScore;
 				}