Improved methods of estimating shape from shading using the light source coordinate system
Artificial Intelligence
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
A Shape From Shading Analysis for a Single Perspective Image of a Polyhedron
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from shading
Estimation of Illuminant Direction, Albedo, and Shape from Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
A viscosity solutions approach to shape-from-shading
SIAM Journal on Numerical Analysis
Computer Vision and Image Understanding
Shape from shading with a generalized reflectance map model
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robot Vision
Optimal Algorithm for Shape from Shading and Path Planning
Journal of Mathematical Imaging and Vision
Shape from Shading with a Linear Triangular Element Surface Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from Shading and Viscosity Solutions
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
A Robust 3-D Reconstruction System for Human Jaw Modeling
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Model Acquisition Using Shape-from-Shading
AMDO '02 Proceedings of the Second International Workshop on Articulated Motion and Deformable Objects
A Divide-and-conquer Strategy in Shape from Shading Problem
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A New Perspective [on] Shape-from-Shading
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
"Perspective Shape from Shading" and Viscosity Solutions
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A Generic and Provably Convergent Shape-from-Shading Method for Orthographic and Pinhole Cameras
International Journal of Computer Vision
A fast marching formulation of perspective shape from shading under frontal illumination
Pattern Recognition Letters
Numerical methods for shape-from-shading: A new survey with benchmarks
Computer Vision and Image Understanding
Novel Shape-From-Shading Methodology with Specular Reflectance Using Wavelet Networks
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Perspective Shape from Shading with Non-Lambertian Reflectance
Proceedings of the 30th DAGM symposium on Pattern Recognition
Shape from Shading Using Probability Functions and Belief Propagation
International Journal of Computer Vision
Fast Shape from Shading for Phong-Type Surfaces
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Recovering Shape by Shading and Stereo Under Lambertian Shading Model
International Journal of Computer Vision
Making Shape from Shading Work for Real-World Images
Proceedings of the 31st DAGM Symposium on Pattern Recognition
A Multi-Image Shape-from-Shading Framework for Near-Lighting Perspective Endoscopes
International Journal of Computer Vision
A solution to illumination direction estimation of a shaded image: Genetic algorithm
Image and Vision Computing
Variable-Source Shading Analysis
International Journal of Computer Vision
A new shape from shading approach for specular surfaces
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Towards live monocular 3d laparoscopy using shading and specularity information
IPCAI'12 Proceedings of the Third international conference on Information Processing in Computer-Assisted Interventions
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. A very common assumption in this field is that image projection is orthographic. This paper re-examines the basis of SfS, the image irradiance equation, under a perspective projection assumption. The resultant equation does not depend on the depth function directly, but rather, on its natural logarithm. As such, it is invariant to scale changes of the depth function. A reconstruction method based on the perspective formula is then suggested; it is a modification of the Fast Marching method of Kimmel and Sethian. Following that, a comparison of the orthographic Fast Marching, perspective Fast Marching and the perspective algorithm of Prados and Faugeras on synthetic images is presented. The two perspective methods show better reconstruction results than the orthographic. The algorithm of Prados and Faugeras equates with the perspective Fast Marching. Following that, a comparison of the orthographic and perspective versions of the Fast Marching method on endoscopic images is introduced. The perspective algorithm outperformed the orthographic one. These findings suggest that the more realistic set of assumptions of perspective SfS improves reconstruction significantly with respect to orthographic SfS. The findings also provide evidence that perspective SfS can be used for real-life applications in fields such as endoscopy.