1 // Copyright (c) 2018, ETH Zurich and UNC Chapel Hill.
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30 // Author: Johannes L. Schoenberger (jsch-at-demuc-dot-de)
31 
32 #include "mvs/normal_map.h"
33 
34 #include "base/warp.h"
35 
36 namespace colmap {
37 namespace mvs {
38 
NormalMap()39 NormalMap::NormalMap() : Mat<float>(0, 0, 3) {}
40 
NormalMap(const size_t width,const size_t height)41 NormalMap::NormalMap(const size_t width, const size_t height)
42     : Mat<float>(width, height, 3) {}
43 
NormalMap(const Mat<float> & mat)44 NormalMap::NormalMap(const Mat<float>& mat)
45     : Mat<float>(mat.GetWidth(), mat.GetHeight(), mat.GetDepth()) {
46   CHECK_EQ(mat.GetDepth(), 3);
47   data_ = mat.GetData();
48 }
49 
Rescale(const float factor)50 void NormalMap::Rescale(const float factor) {
51   if (width_ * height_ == 0) {
52     return;
53   }
54 
55   const size_t new_width = std::round(width_ * factor);
56   const size_t new_height = std::round(height_ * factor);
57   std::vector<float> new_data(new_width * new_height * 3);
58 
59   // Resample the normal map.
60   for (size_t d = 0; d < 3; ++d) {
61     const size_t offset = d * width_ * height_;
62     const size_t new_offset = d * new_width * new_height;
63     DownsampleImage(data_.data() + offset, height_, width_, new_height,
64                     new_width, new_data.data() + new_offset);
65   }
66 
67   data_ = new_data;
68   width_ = new_width;
69   height_ = new_height;
70 
71   data_.shrink_to_fit();
72 
73   // Re-normalize the normal vectors.
74   for (size_t r = 0; r < height_; ++r) {
75     for (size_t c = 0; c < width_; ++c) {
76       Eigen::Vector3f normal(Get(r, c, 0), Get(r, c, 1), Get(r, c, 2));
77       const float squared_norm = normal.squaredNorm();
78       if (squared_norm > 0) {
79         normal /= std::sqrt(squared_norm);
80       }
81       Set(r, c, 0, normal(0));
82       Set(r, c, 1, normal(1));
83       Set(r, c, 2, normal(2));
84     }
85   }
86 }
87 
Downsize(const size_t max_width,const size_t max_height)88 void NormalMap::Downsize(const size_t max_width, const size_t max_height) {
89   if (height_ <= max_height && width_ <= max_width) {
90     return;
91   }
92   const float factor_x = static_cast<float>(max_width) / width_;
93   const float factor_y = static_cast<float>(max_height) / height_;
94   Rescale(std::min(factor_x, factor_y));
95 }
96 
ToBitmap() const97 Bitmap NormalMap::ToBitmap() const {
98   CHECK_GT(width_, 0);
99   CHECK_GT(height_, 0);
100   CHECK_EQ(depth_, 3);
101 
102   Bitmap bitmap;
103   bitmap.Allocate(width_, height_, true);
104 
105   for (size_t y = 0; y < height_; ++y) {
106     for (size_t x = 0; x < width_; ++x) {
107       float normal[3];
108       GetSlice(y, x, normal);
109       if (normal[0] != 0 || normal[1] != 0 || normal[2] != 0) {
110         const BitmapColor<float> color(127.5f * (-normal[0] + 1),
111                                        127.5f * (-normal[1] + 1),
112                                        -255.0f * normal[2]);
113         bitmap.SetPixel(x, y, color.Cast<uint8_t>());
114       } else {
115         bitmap.SetPixel(x, y, BitmapColor<uint8_t>(0));
116       }
117     }
118   }
119 
120   return bitmap;
121 }
122 
123 }  // namespace mvs
124 }  // namespace colmap
125