Improved methods of estimating shape from shading using the light source coordinate system
Artificial Intelligence
A Method for Enforcing Integrability in Shape from Shading Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from shading
Height and gradient from shading
International Journal of Computer Vision
CVGIP: Image Understanding
Surface Reflection: Physical and Geometrical Perspectives
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
Object-centered surface reconstruction: combining multi-image stereo and shading
International Journal of Computer Vision
Imposing hard constraints on deformable models through optimization in orthogonal subspaces
Computer Vision and Image Understanding - Special issue on physics-based modeling and reasoning in computer vision
Physically Based Adaptive Preconditioning for Early Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Physics-Based Deformable Models: Applications to Computer Vision, Graphics, and Medical Imaging
Physics-Based Deformable Models: Applications to Computer Vision, Graphics, and Medical Imaging
Shape and Nonrigid Motion Estimation Through Physics-Based Synthesis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from Shading with a Linear Triangular Element Surface Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reflectance and Texture of Real-World Surfaces Authors
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Global and local deformations of solid primitives
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 2
Regularized Bundle-Adjustment to Model Heads from Image Sequences without Calibration Data
International Journal of Computer Vision
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
New algorithm for 3D facial model reconstruction and its application in virtual reality
Journal of Computer Science and Technology
Incremental Model-Based Estimation Using Geometric Constraints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Numerical methods for shape-from-shading: A new survey with benchmarks
Computer Vision and Image Understanding
3D-spline reconstruction using shape from shading: Spline from shading
Image and Vision Computing
Accurate face models from uncalibrated and Ill-Lit video sequences
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Linear-nonlinear neuronal model for shape from shading
Pattern Recognition Letters
Face reconstruction across different poses and arbitrary illumination conditions
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
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We present a method for the integration of illumination constraints within a deformable model framework. These constraints are incorporated as nonlinear holonomic constraints in the Lagrange equations of motion governing the deformation of the model. For improved numerical performance we employ the Baumgarte stabilization method. Our methodology is general and can be used for a broad range of illumination constraints. This approach avoids commonly used approximations in shape from shading, such as linearization, and the use of partial differential equations, which require initial boundary conditions. Furthermore, global and local parameterizations of the deformable models allow an improved estimation of shape from shading. We demonstrate this improvement over previously used approaches through a series of experiments on standardized sets of real and synthetic data [30].