Manifolds, tensor analysis, and applications: 2nd edition
Manifolds, tensor analysis, and applications: 2nd edition
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Shape from shading
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
Toward Accurate Recovery of Shape from Shading Under Diffuse Lighting
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
International Journal of Computer Vision
Robot Vision
A Theory of Shape by Space Carving
International Journal of Computer Vision - Special issue on Genomic Signal Processing
A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of 3D Surface Shape and Smooth Radiance from 2D Images: A Level Set Approach
Journal of Scientific Computing
Regularizing Flows for Constrained Matrix-Valued Images
Journal of Mathematical Imaging and Vision
An Invitation to 3-D Vision: From Images to Geometric Models
An Invitation to 3-D Vision: From Images to Geometric Models
Variational methods for shape reconstruction in computer vision
Variational methods for shape reconstruction in computer vision
Estimating the Surface Radiance Function from Single Images
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score
International Journal of Computer Vision
Journal of Mathematical Imaging and Vision
Surface radiance correction for shape from shading
Pattern Recognition
Multi-view stereo beyond lambert
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Robust variational segmentation of 3d objects from multiple views
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Variational principles, surface evolution, PDEs, level set methods, and the stereo problem
IEEE Transactions on Image Processing
Level Set Segmentation With Multiple Regions
IEEE Transactions on Image Processing
Generic Scene Recovery Using Multiple Images
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
Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination Conditions
International Journal of Computer Vision
Towards full 3D Helmholtz stereovision algorithms
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
International Journal of Computer Vision
Lightweight binocular facial performance capture under uncontrolled lighting
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
A Super-Resolution Framework for High-Accuracy Multiview Reconstruction
International Journal of Computer Vision
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We propose a variational algorithm to jointly estimate the shape, albedo, and light configuration of a Lambertian scene from a collection of images taken from different vantage points. Our work can be thought of as extending classical multi-view stereo to cases where point correspondence cannot be established, or extending classical shape from shading to the case of multiple views with unknown light sources. We show that a first naive formalization of this problem yields algorithms that are numerically unstable, no matter how close the initialization is to the true geometry. We then propose a computational scheme to overcome this problem, resulting in provably stable algorithms that converge to (local) minima of the cost functional. We develop a new model that explicitly enforces positivity in the light sources with the assumption that the object is Lambertian and its albedo is piecewise constant and show that the new model significantly improves the accuracy and robustness relative to existing approaches.