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ManualUV
hesuicong 2 weeks ago
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  1. 376
      libs/MVS/SceneTexture.cpp

376
libs/MVS/SceneTexture.cpp
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@ -723,6 +723,79 @@ public:
Pixel8U SampleImageBicubic(const Image8U3& img, const Point2f& pt); Pixel8U SampleImageBicubic(const Image8U3& img, const Point2f& pt);
void ApplyUnsharpMask(cv::Mat& image, float strength); void ApplyUnsharpMask(cv::Mat& image, float strength);
void FillTextureGaps2(cv::Mat& texture, const cv::Mat1f& weights, Pixel8U colEmpty); void FillTextureGaps2(cv::Mat& texture, const cv::Mat1f& weights, Pixel8U colEmpty);
// ========================================================================
// 辅助函数：双线性采样
// ========================================================================
inline Color BilinearSample(const Image8U3& img, const Point2f& p) {
const int w = img.width();
const int h = img.height();
const float fx = p.x - 0.5f; // 像素中心对齐
const float fy = p.y - 0.5f;
int x0 = (int)std::floor(fx);
int y0 = (int)std::floor(fy);
float dx = fx - x0;
float dy = fy - y0;
auto get = [&](int x, int y) -> Color {
x = std::max(0, std::min(x, w - 1));
y = std::max(0, std::min(y, h - 1));
return img(x, y);
};
Color c00 = get(x0, y0);
Color c10 = get(x0 + 1, y0);
Color c01 = get(x0, y0 + 1);
Color c11 = get(x0 + 1, y0 + 1);
return c00 * ((1.0f - dx) * (1.0f - dy))
+ c10 * (dx * (1.0f - dy))
+ c01 * ((1.0f - dx) * dy)
+ c11 * (dx * dy);
}
// ========================================================================
// 辅助函数：透视校正插值权重
// ========================================================================
inline Point3f ComputePerspectiveBarycentric(
const Point2f& uv, const TexCoord* uvCoords,
const Point3f* worldVerts, float* w)
{
// 标准重心坐标
const float denom = 1.0f / ((uvCoords[1].y - uvCoords[2].y) * (uvCoords[0].x - uvCoords[2].x)
+ (uvCoords[2].x - uvCoords[1].x) * (uvCoords[0].y - uvCoords[2].y));
const float b0 = ((uvCoords[1].y - uvCoords[2].y) * (uv.x - uvCoords[2].x)
+ (uvCoords[2].x - uvCoords[1].x) * (uv.y - uvCoords[2].y)) * denom;
const float b1 = ((uvCoords[2].y - uvCoords[0].y) * (uv.x - uvCoords[2].x)
+ (uvCoords[0].x - uvCoords[2].x) * (uv.y - uvCoords[2].y)) * denom;
const float b2 = 1.0f - b0 - b1;
// 透视校正：需要深度（Z）
w[0] = b0;
w[1] = b1;
w[2] = b2;
return Point3f(
worldVerts[0].x * b0 + worldVerts[1].x * b1 + worldVerts[2].x * b2,
worldVerts[0].y * b0 + worldVerts[1].y * b1 + worldVerts[2].y * b2,
worldVerts[0].z * b0 + worldVerts[1].z * b1 + worldVerts[2].z * b2
);
}
// ========================================================================
// 辅助函数：ProjectPoint（透视投影到图像坐标）
// ========================================================================
inline Point2f ProjectToImage(const RMatrix& R, const Point3f& C, const Point3f& worldPt) {
// R: 相机旋转, C: 相机中心
Point3f camPt(
R(0,0)*(worldPt.x-C.x) + R(0,1)*(worldPt.y-C.y) + R(0,2)*(worldPt.z-C.z),
R(1,0)*(worldPt.x-C.x) + R(1,1)*(worldPt.y-C.y) + R(1,2)*(worldPt.z-C.z),
R(2,0)*(worldPt.x-C.x) + R(2,1)*(worldPt.y-C.y) + R(2,2)*(worldPt.z-C.z)
);
if (camPt.z <= 0) return Point2f(-1, -1); // 在相机后面
return Point2f(camPt.x / camPt.z, camPt.y / camPt.z);
}
Mesh::Image8U3Arr GenerateMultiViewTextureAtlasWithVirtualFaces( Mesh::Image8U3Arr GenerateMultiViewTextureAtlasWithVirtualFaces(
const VirtualFaceMap& virtualFaceMap, const VirtualFaceMap& virtualFaceMap,
const VirtualFaceDataArr& virtualFaceDatas, // 改为 VirtualFaceDataArr const VirtualFaceDataArr& virtualFaceDatas, // 改为 VirtualFaceDataArr
@ -15809,200 +15882,225 @@ Mesh::Image8U3Arr MeshTexture::GenerateMultiViewTextureAtlasWithVirtualFaces(
Pixel8U colEmpty, Pixel8U colEmpty,
float fSharpnessWeight) float fSharpnessWeight)
{ {
DEBUG_EXTRA("Generating multi-view texture atlas with virtual faces (SHARPENED)"); DEBUG_EXTRA("Generating SINGLE-VIEW + Bilinear + 1:1 Rasterized texture atlas");
TD_TIMER_START(); TD_TIMER_START();
// 1. 分析UV布局 // ========================================================================
// 1. 计算 UV 边界和纹理尺寸
// ========================================================================
AABB2f uvBounds(true); AABB2f uvBounds(true);
FOREACH(i, scene.mesh.faceTexcoords) { for (const auto& tc : scene.mesh.faceTexcoords) {
const TexCoord& uv = scene.mesh.faceTexcoords[i]; uvBounds.InsertFull(tc);
uvBounds.InsertFull(uv);
} }
if (uvBounds.ptMax.x() - uvBounds.ptMin.x() < 0.001f)
uvBounds.ptMax.x() = uvBounds.ptMin.x() + 1.0f;
if (uvBounds.ptMax.y() - uvBounds.ptMin.y() < 0.001f)
uvBounds.ptMax.y() = uvBounds.ptMin.y() + 1.0f;
// 2. 计算纹理尺寸 const float uvWidth = uvBounds.ptMax.x() - uvBounds.ptMin.x();
float uvWidth = uvBounds.ptMax.x() - uvBounds.ptMin.x(); const float uvHeight = uvBounds.ptMax.y() - uvBounds.ptMin.y();
float uvHeight = uvBounds.ptMax.y() - uvBounds.ptMin.y();
if (uvWidth < 0.001f) uvWidth = 1.0f;
if (uvHeight < 0.001f) uvHeight = 1.0f;
// 1:1 渲染，不超分
const int textureSize = ComputeOptimalTextureSize(uvWidth, uvHeight, nTextureSizeMultiple); const int textureSize = ComputeOptimalTextureSize(uvWidth, uvHeight, nTextureSizeMultiple);
// ✅ 关键修改1：使用超分辨率渲染（2倍） DEBUG_EXTRA("UV bounds: [%.4f,%.4f] -> [%.4f,%.4f], textureSize=%d",
constexpr int RENDER_SCALE = 2; uvBounds.ptMin.x(), uvBounds.ptMin.y(),
const int renderSize = textureSize * RENDER_SCALE; uvBounds.ptMax.x(), uvBounds.ptMax.y(),
textureSize);
// 3. 创建纹理图集（最终输出尺寸） // ========================================================================
// 2. 创建输出纹理（单张）
// ========================================================================
Mesh::Image8U3Arr textures; Mesh::Image8U3Arr textures;
Image8U3& textureAtlas = textures.emplace_back(textureSize, textureSize); Image8U3& atlas = textures.emplace_back(textureSize, textureSize);
textureAtlas.setTo(cv::Scalar(colEmpty.b, colEmpty.g, colEmpty.r)); atlas.setTo(cv::Scalar(colEmpty.b, colEmpty.g, colEmpty.r));
// 4. 创建高分辨率累积缓冲区
cv::Mat1f weightAccum(renderSize, renderSize, 0.0f);
cv::Mat3f colorAccum(renderSize, renderSize, cv::Vec3f(0, 0, 0));
DEBUG_EXTRA("Texture atlas size: %dx%d, Render size: %dx%d, UV bounds: [%.3f,%.3f]-[%.3f,%.3f]", // 权重图（记录每个像素是否被写入）
textureSize, textureSize, renderSize, renderSize, cv::Mat1f weightMap(textureSize, textureSize, 0.0f);
uvBounds.ptMin.x(), uvBounds.ptMin.y(),
uvBounds.ptMax.x(), uvBounds.ptMax.y());
// 5. 处理每个虚拟面 // ========================================================================
// 3. 逐虚拟面光栅化（单视图 + 双线性 + 透视校正）
// ========================================================================
#ifdef _USE_OPENMP #ifdef _USE_OPENMP
#pragma omp parallel for schedule(dynamic) #pragma omp parallel for schedule(dynamic)
for (int_t idxVF = 0; idxVF < (int_t)virtualFaceMap.size(); ++idxVF) {
#else
for (size_t idxVF = 0; idxVF < virtualFaceMap.size(); ++idxVF) {
#endif #endif
for (int_t idxVF = 0; idxVF < (int_t)virtualFaceMap.size(); ++idxVF) {
const VirtualFace& vf = virtualFaceMap[idxVF]; const VirtualFace& vf = virtualFaceMap[idxVF];
// 检查虚拟面是否有可用视图 if (vf.faces.empty()) continue;
if (faceViews[idxVF].empty()) { if (idxVF >= (int_t)faceViews.size() || faceViews[idxVF].empty()) continue;
continue;
// ✅ 只取权重最大的那一个视图（单视图策略）
size_t bestViewIdx = 0;
float bestW = faceViewWeights[idxVF][0];
for (size_t vi = 1; vi < faceViewWeights[idxVF].size(); ++vi) {
if (faceViewWeights[idxVF][vi] > bestW) {
bestW = faceViewWeights[idxVF][vi];
bestViewIdx = vi;
}
} }
const IIndex idxView = faceViews[idxVF][bestViewIdx];
if (idxView >= (IIndex)images.size()) continue;
// 处理虚拟面中的每个原始面片 const Image& srcImage = images[idxView];
const int srcW = srcImage.image.width();
const int srcH = srcImage.image.height();
// 相机参数
const RMatrix& R = srcImage.camera.R;
const Point3f& C = srcImage.camera.C;
// ====================================================================
// 对每个面片光栅化
// ====================================================================
for (FIndex faceID : vf.faces) { for (FIndex faceID : vf.faces) {
if (faceID >= (FIndex)scene.mesh.faces.size()) continue;
const Face& face = scene.mesh.faces[faceID]; const Face& face = scene.mesh.faces[faceID];
const TexCoord* uvCoords = &scene.mesh.faceTexcoords[faceID * 3]; const TexCoord* uvCoords = &scene.mesh.faceTexcoords[faceID * 3];
const Point3f* worldVerts[3] = {
&scene.mesh.vertices[face[0]],
&scene.mesh.vertices[face[1]],
&scene.mesh.vertices[face[2]]
};
// ✅ 关键修改2：计算高分辨率下的边界框 // ---- 计算纹理空间 bounding box ----
cv::Rect bbox; int minX = textureSize, minY = textureSize, maxX = 0, maxY = 0;
for (int i = 0; i < 3; ++i) { for (int i = 0; i < 3; ++i) {
int px = int(uvCoords[i].x * renderSize); int px = (int)(uvCoords[i].x * textureSize);
int py = int(uvCoords[i].y * renderSize); int py = (int)(uvCoords[i].y * textureSize);
if (bbox.empty()) minX = std::min(minX, px); maxX = std::max(maxX, px);
bbox = cv::Rect(px, py, 1, 1); minY = std::min(minY, py); maxY = std::max(maxY, py);
else
bbox |= cv::Rect(px, py, 1, 1);
} }
bbox &= cv::Rect(0, 0, renderSize, renderSize); minX = std::max(0, minX - 1);
minY = std::max(0, minY - 1);
maxX = std::min(textureSize - 1, maxX + 1);
maxY = std::min(textureSize - 1, maxY + 1);
if (bbox.empty()) continue; if (maxX < minX || maxY < minY) continue;
// ✅ 关键修改3：直接在高分辨率下逐像素采样（不再使用Delaunay插值） // ---- 预计算 3 个顶点在图像中的投影位置 ----
for (int y = bbox.y; y < bbox.y + bbox.height; ++y) { Point2f imgPts[3];
for (int x = bbox.x; x < bbox.x + bbox.width; ++x) { bool validProj = true;
// 计算当前像素的UV坐标（在高分辨率空间） for (int i = 0; i < 3; ++i) {
Point2f texCoord( imgPts[i] = ProjectToImage(R, C, *worldVerts[i]);
static_cast<float>(x) / renderSize, if (imgPts[i].x < 0 || imgPts[i].y < 0 ||
static_cast<float>(y) / renderSize imgPts[i].x >= srcW || imgPts[i].y >= srcH) {
); validProj = false;
break;
// 计算重心坐标
Point3f barycentric;
if (!PointInTriangle(texCoord, uvCoords[0], uvCoords[1], uvCoords[2], barycentric)) {
continue;
} }
}
if (!validProj) continue;
// 计算3D世界坐标 // ---- 逐像素光栅化 ----
const Vertex worldPoint = for (int y = minY; y <= maxY; ++y) {
scene.mesh.vertices[face[0]] * barycentric.x + for (int x = minX; x <= maxX; ++x) {
scene.mesh.vertices[face[1]] * barycentric.y + Point2f uv(
scene.mesh.vertices[face[2]] * barycentric.z; (float)x / (float)textureSize,
(float)y / (float)textureSize
// 累积来自所有视图的颜色 );
cv::Vec3f accumColor(0, 0, 0);
float totalWeight = 0.0f;
for (size_t viewIdx = 0; viewIdx < faceViews[idxVF].size(); ++viewIdx) {
const IIndex idxView = faceViews[idxVF][viewIdx];
const float viewWeight = faceViewWeights[idxVF][viewIdx];
if (idxView >= images.size()) continue;
const Image& sourceImage = images[idxView]; // 重心坐标
float w[3];
// 用面积法计算重心坐标
auto edgeFunc = [](const Point2f& a, const Point2f& b, const Point2f& c) {
return (c.x - a.x) * (b.y - a.y) - (c.y - a.y) * (b.x - a.x);
};
float area = edgeFunc(uvCoords[0], uvCoords[1], uvCoords[2]);
if (std::abs(area) < 1e-10f) continue;
w[0] = edgeFunc(uvCoords[1], uvCoords[2], uv) / area;
w[1] = edgeFunc(uvCoords[2], uvCoords[0], uv) / area;
w[2] = 1.0f - w[0] - w[1];
// 不在三角形内
if (w[0] < 0 || w[1] < 0 || w[2] < 0) continue;
// ---- 透视校正插值 ----
// 用重心坐标插值世界坐标
Point3f worldPt(
worldVerts[0]->x * w[0] + worldVerts[1]->x * w[1] + worldVerts[2]->x * w[2],
worldVerts[0]->y * w[0] + worldVerts[1]->y * w[1] + worldVerts[2]->y * w[2],
worldVerts[0]->z * w[0] + worldVerts[1]->z * w[1] + worldVerts[2]->z * w[2]
);
// 投影到图像 // 投影到图像
Point2f imgPoint = ProjectPointWithAutoCorrection(sourceImage.camera, worldPoint, sourceImage); Point2f imgPt = ProjectToImage(R, C, worldPt);
if (imgPt.x < 0 || imgPt.y < 0 ||
imgPt.x >= srcW - 1 || imgPt.y >= srcH - 1) continue;
// 验证投影 // ---- ✅ 双线性采样 ----
if (!ValidateProjection(worldPoint, sourceImage, imgPoint) || Color color = BilinearSample(srcImage.image, imgPt);
!sourceImage.image.isInside(imgPoint) ||
!sourceImage.camera.IsInFront(worldPoint)) {
continue;
}
Color color = sourceImage.image((int)imgPoint.x, (int)imgPoint.y);
// ✅ 关键修改5：使用面积权重（而非简单计数）
const float areaWeight = viewWeight * (1.0f / (RENDER_SCALE * RENDER_SCALE));
// 累积加权颜色（BGR顺序） // ---- 写入 atlas（临界区保护） ----
accumColor[0] += color[0] * areaWeight; // B
accumColor[1] += color[1] * areaWeight; // G
accumColor[2] += color[2] * areaWeight; // R
totalWeight += areaWeight;
}
// ✅ 关键修改6：原子累加（避免竞态条件）
if (totalWeight > 0.0f) {
#ifdef _USE_OPENMP #ifdef _USE_OPENMP
#pragma omp critical #pragma omp critical
#endif #endif
{ {
colorAccum(y, x) += accumColor; Pixel8U& dst = atlas(y, x);
weightAccum(y, x) += totalWeight; // 如果是第一个写入者，直接赋值；否则覆盖（单视图无混合）
if (weightMap(y, x) == 0.0f) {
dst.b = (unsigned char)color[0];
dst.g = (unsigned char)color[1];
dst.r = (unsigned char)color[2];
weightMap(y, x) = 1.0f;
} }
// 单视图策略：不混合，后写入者覆盖（或反之）
// 如果需要"先到先得"，用上面的 if
// 如果需要"最佳视图覆盖"，去掉 if 直接用下面：
// dst.b = (unsigned char)color[0];
// dst.g = (unsigned char)color[1];
// dst.r = (unsigned char)color[2];
} }
} }
} }
} }
} }
// 6. 应用权重归一化（在高分辨率下） // ========================================================================
DEBUG_EXTRA("Applying weight normalization at high resolution"); // 4. 缝隙填充（可选，用形态学膨胀）
cv::Mat3f hiResAtlas(renderSize, renderSize, cv::Vec3f(0, 0, 0)); // ========================================================================
for (int y = 0; y < renderSize; ++y) { DEBUG_EXTRA("Filling small gaps...");
for (int x = 0; x < renderSize; ++x) { cv::Mat atlasMat = (cv::Mat&)atlas;
float weight = weightAccum(y, x); cv::Mat mask = (weightMap > 0.5f);
if (weight > 0.0f) { cv::Mat atlasF;
hiResAtlas(y, x) = colorAccum(y, x) / weight; atlasMat.convertTo(atlasF, CV_32FC3);
} else {
// 对于未采样的像素，使用背景色
hiResAtlas(y, x) = cv::Vec3f(colEmpty[2], colEmpty[1], colEmpty[0]);
}
}
}
// 7. ✅ 关键修改7：高质量降采样到目标分辨率 // 膨胀 mask
DEBUG_EXTRA("Downsampling from %dx%d to %dx%d", renderSize, renderSize, textureSize, textureSize); cv::Mat kernel = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(3, 3));
cv::Mat3f downsampledAtlas; cv::Mat dilatedMask;
cv::resize(hiResAtlas, downsampledAtlas, cv::Size(textureSize, textureSize), 0, 0, cv::INTER_CUBIC); cv::dilate(mask, dilatedMask, kernel);
// 8. 转换为8位纹理 // 对未填充区域做距离变换 + 插值
cv::Mat distMap, nearestLoc;
cv::distanceTransform(mask, distMap, nearestLoc, cv::DIST_L2, 5);
for (int y = 0; y < textureSize; ++y) { for (int y = 0; y < textureSize; ++y) {
for (int x = 0; x < textureSize; ++x) { for (int x = 0; x < textureSize; ++x) {
const cv::Vec3f& color = downsampledAtlas(y, x); if (weightMap(y, x) == 0.0f && dilatedMask.at<uchar>(y, x)) {
Pixel8U finalColor; // 用最近的有效像素填充
finalColor.b = (unsigned char)cv::saturate_cast<uchar>(color[0]); int nearestIdx = nearestLoc.at<int>(y, x);
finalColor.g = (unsigned char)cv::saturate_cast<uchar>(color[1]); int ny = nearestIdx / textureSize;
finalColor.r = (unsigned char)cv::saturate_cast<uchar>(color[2]); int nx = nearestIdx % textureSize;
textureAtlas(y, x) = finalColor; atlasMat.at<cv::Vec3b>(y, x) = atlasMat.at<cv::Vec3b>(ny, nx);
} }
} }
// 9. 填充缝隙和未采样区域（可选）
DEBUG_EXTRA("Filling gaps in texture atlas");
cv::Mat textureMat = (cv::Mat&)textureAtlas;
cv::Mat1f weightMat = weightAccum;
// FillTextureGaps2(textureMat, weightMat, colEmpty);
// 10. ✅ 关键修改8：应用锐化（显著提升清晰度）
if (fSharpnessWeight > 0) {
DEBUG_EXTRA("Applying sharpening filter (weight: %.2f)", fSharpnessWeight);
ApplyUnsharpMask(textureMat, fSharpnessWeight);
} }
// 11. 可选：各向异性过滤 // ========================================================================
#if TEXOPT_USE_ANISOTROPIC // 5. 可选锐化（轻微）
const int anisoLevel = 8; // ========================================================================
for (auto& tex : textures) { if (fSharpnessWeight > 0) {
tex.SetFilterMode(Texture::ANISOTROPIC); DEBUG_EXTRA("Applying mild sharpening (weight: %.2f)", fSharpnessWeight);
tex.SetAnisotropy(anisoLevel); cv::Mat kernel = (cv::Mat_<float>(3, 3) <<
0, -fSharpnessWeight, 0,
-fSharpnessWeight, 1 + 4 * fSharpnessWeight, -fSharpnessWeight,
0, -fSharpnessWeight, 0);
cv::Mat sharpened;
cv::filter2D(atlasMat, sharpened, CV_8UC3, kernel);
atlasMat = sharpened;
} }
#endif
DEBUG_EXTRA("Multi-view texture atlas generation completed in %s", TD_TIMER_GET_FMT().c_str()); DEBUG_EXTRA("Single-view texture atlas completed in %s", TD_TIMER_GET_FMT().c_str());
return textures; return textures;
} }

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