将特定的RGB颜色分配给3d网格/曲面/点 [英] Assign specific RGB colours to 3d mesh/surface/points

问题描述

脸孔和地标地标

我有一张脸部图片，其上贴有脸部特征。图像以标准JPEG格式存储，标记以 [xy] 格式存储（点的x，y对应于图像上的坐标，如下所示） p>

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插值的3d面网格

我已经为每个标签生成了深度信息点，并且具有 [xyz] 格式的矩阵，其中坐标x和y与点的坐标相同。

稀疏网格看起来像这样：

然后我插入 xrange ， yrange zrange 以获得更好的网格。使用 mesh（xrange，yrange，zrange）给我以下

面部图像像素的颜色可以使用 imread（face_image.jpg）。
考虑到每个内插点的（x，y）值对应于图像中的（x，y），可以使像素的颜色为（x，y，z

解决方案

我会建议这样：

  n = 50000; ％选择适当的东西
 [C，map] = rgb2ind（FaceImageRGB，n）; 
  

将RGB图像中的颜色映射到线性索引。 请确保网格和RGB图片具有相同的xy尺寸。

然后使用 surf 绘制带有索引颜色值的表面（应该是 surf（X，Y，Z，C）

$

 作为颜色图。
  
 colormap（map）; 
 
 编辑：一个工作示例em> image this time ...）：
  rgbim = imread（'http://upload.wikimedia.org/wikipedia /commons/0/0d/Loriculus_vernalis_-Ganeshgudi,_Karnataka,_India_-male-8-1c.jpg'）; 
 
 n = 50000; ％choose something apropriate 
 [C，map] = rgb2ind（rgbim，n）; 
 
％创建与图像尺寸相同的网格：
 [X，Y] = meshgrid（-floor（size（rgbim，2）/ 2）：floor ，2）/ 2），-floor（size（rgbim，1）/ 2）：floor（size（rgbim，1）/ 2））; 
 
％Z的任意函数：
 Z =  - （X. ^ 2 + Y. ^ 2）; 
 
％将图像显示为颜色值：
 surf（X，Y，Z，double（C）），阴影平面
 colormap 
  
结果：
 
 
 
  
 
Face and feature landmarks

I have a face image that has labelled face features. The image is stored in standard JPEG format and the landmarks are stored in [x y] format (x,y of point corresponds to its coordinates on the image as shown below)





Interpolated 3d face mesh

I have generated depth information (a 3d mesh) for each of the labelled points, and have a matrix in [x y z] format, where the coordinates x and y are the same as that of the points. 

The sparse mesh looks like this:


I then interpolated over xrange, yrange and zrange to get a better mesh. Using mesh(xrange,yrange,zrange) gives me the following


The colours for face image pixels can be obtained using imread(face_image.jpg).
Given that the (x,y) value of each of the interpolated point corresponds to (x,y) in the image, is it possible to make the colour of the pixel at (x,y,z)[3dmesh] the same as colour of (x,y)[face image]?

This would effectively superimpose/warp the face on the3d mesh, giving me a 3d face model.
解决方案
I would suggest this:
n=50000; % chose something appropriate
[C,map] = rgb2ind(FaceImageRGB,n);
To map the color in your RGB image into a linear index. Make sure the mesh and the RGB image have the same x-y dimensions.

Then use surf to plot the surface with the indexed values for color (should be in the form surf(X,Y,Z,C)) and the map as color map.
surf(3dmesh, C), shading flat;
colormap(map);
Edit: a working example (with a colorful image this time...):
rgbim=imread('http://upload.wikimedia.org/wikipedia/commons/0/0d/Loriculus_vernalis_-Ganeshgudi,_Karnataka,_India_-male-8-1c.jpg');

n=50000; % chose something apropriate
[C,map] = rgb2ind(rgbim,n);    

% Creation of mesh with the same dimensions as the image:
[X,Y] = meshgrid(-floor(size(rgbim, 2)/2):floor(size(rgbim, 2)/2), -floor(size(rgbim, 1)/2):floor(size(rgbim, 1)/2));

% An arbitrary function for Z:
Z=-(X.^2+Y.^2);

% Display the surface with the image as color value:
surf(X, Y, Z, double(C)), shading flat
colormap(map);
Result:



                        
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