A Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications
Journal of Mathematical Imaging and Vision
Shape from shading for the digitization of curved documents
Machine Vision and Applications
A Multi-Image Shape-from-Shading Framework for Near-Lighting Perspective Endoscopes
International Journal of Computer Vision
Some remarks on perspective shape-from-shading models
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Two-Image perspective photometric stereo using shape-from-shading
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
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Shape-from-Shading (SfS) is a fundamental problem in Computer Vision; it is based upon the image irradiance equation. Recently, the authors proposed to solve the image irradiance equation under the assumption of perspective projection rather than the common orthographic one. The solution was a modification of the Fast Marching method of Kimmel and Sethian. This paper presents an application of this novel perspective algorithm to reconstruction of medical images. We focus on gastrointestinal endoscopy and compare the two versions of the Fast Marching method (orthographic vs. perspective). The examples and comparison show that, unlike orthographic SfS, perspective SfS is robust and can be utilized for real-life applications.