Improved methods of estimating shape from shading using the light source coordinate system
Artificial Intelligence
Estimation of Illuminant Direction, Albedo, and Shape from Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
Models of light reflection for computer synthesized pictures
SIGGRAPH '77 Proceedings of the 4th annual conference on Computer graphics and interactive techniques
Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo Matching Using Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination for computer-generated images.
Illumination for computer-generated images.
Symmetric Stereo Matching for Occlusion Handling
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A fast marching formulation of perspective shape from shading under frontal illumination
Pattern Recognition Letters
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
Neural computation approach for developing a 3D shape reconstruction model
IEEE Transactions on Neural Networks
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Due to low cost for capturing depth information, it is worthwhile to reduce the illumination ambiguity by employing scenario depth information. In this article, a neural computation approach is reported that estimates illuminant direction from scenario reflectance map. Since the reflectance map recovered from depth map and image is a variable sized point cloud, we propose to parameterize it as a two dimensional polynomial function. Afterwards, a novel network model is presented for mapping from continuous function (reflectance map) to vectorial output (illuminant direction). Experimental results show that the proposed model works well on both synthetic and real scenes.