A Theory of Photometric Stereo for a Class of Diffuse Non-Lambertian Surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional shape from color photometric stereo
International Journal of Computer Vision
Estimating the parameters of an illumination model using photometric stereo
Graphical Models and Image Processing
Illumination for computer generated pictures
Communications of the ACM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Examining the uncertainty of the recovered surface normal in three light photometric stereo
Image and Vision Computing
Quaternion-based albedo recovery for shape reconstruction
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
Nonlinear non-negative component analysis algorithms
IEEE Transactions on Image Processing
Photometric stereo with an arbitrary number of illuminants
Computer Vision and Image Understanding
Computer Vision and Image Understanding
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This paper presents the detailed performance analysis for a colour photometric stereo system proposed recently. The system recovers surface colour and surface normal for each surface patch separately, in the presence of highlights and shadows. The error analysis presented concerns every step of the algorithm, and it is based on the assumptions that errors may arise due to Gaussian image noise and errors in the accuracy with which the geometry of the illuminating set-up is known. The analysis is confirmed by experiments. The implications of this sensitivity analysis to the design of such a rig and the choice of threshold values for the algorithm are also discussed and recommendations to a designer are given.