In this paper, we first describe our approach to measuring the surface shape of specular objects and then we extend the method to measuring the surface shape of transparent objects by using stereo cameras and a display. We show that two viewpoints can uniquely determine the surface shape and surface normal by investigating the light path for each surface point. We can determine the light origin for each surface point by showing two-dimensional phase shifts on the display. We obtained dense and accurate results for both planar surfaces and curved surfaces.
Dense 3D Reconstruction of Specular and Transparent Objects Using Stereo Cameras and Phase-Shift Method
Asian Conference on Computer Vision ; 2007 ; Tokyo, Japan November 18, 2007 - November 22, 2007
2007-01-01
10 pages
Article/Chapter (Book)
Electronic Resource
English
Front Surface , Surface Point , Back Surface , Stereo Camera , World Coordinate System Computer Science , Image Processing and Computer Vision , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Artificial Intelligence , Biometrics , Algorithm Analysis and Problem Complexity
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