A Method for Enforcing Integrability in Shape from Shading Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of Illuminant Direction, Albedo, and Shape from Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: A literature survey
ACM Computing Surveys (CSUR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Shape from shading (SFS) is an important research domain in the Computer Vision, in which the technology making use of the change in image brightness of an object to determine the relative surface depth receives a lot of attention Now many algorithms have been developed to perform the goal, especially the model-based symmetric Shape-from-Shading approach presented by Zhao works well, but the symmetry supposition limits the application of the approach In order to get rid of the limit, we have improved the traditional Jacobi's iterative method by making use of the brightness constraint and the smoothness constraint to implement the face 3D surface reconstruct, and we have gave the synthesis of the prototype image under the single frontal light source to verify the validity of the algorithm.