Reconstructing Open Surfaces from Image Data
International Journal of Computer Vision
Carved Visual Hulls for Image-Based Modeling
International Journal of Computer Vision
Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination Conditions
International Journal of Computer Vision
Robust variational reconstruction from multiple views
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
A globally optimal approach for 3D elastic motion estimation from stereo sequences
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
GPU-friendly multi-view stereo reconstruction using surfel representation and graph cuts
Computer Vision and Image Understanding
Random Exploration of the Procedural Space for Single-View 3D Modeling of Buildings
International Journal of Computer Vision
International Journal of Computer Vision
A GPU implementation of level set multiview stereo
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Embedded Voxel Colouring with Adaptive Threshold Selection Using Globally Minimal Surfaces
International Journal of Computer Vision
A pointwise smooth surface stereo reconstruction algorithm without correspondences
Image and Vision Computing
Integrating approximate depth data into dense image correspondence estimation
Proceedings of the 9th European Conference on Visual Media Production
Multi-view dense 3D modelling of untextured objects from a moving projector-cameras system
Machine Vision and Applications
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In this paper, we present a new variational method for multi-view stereovision and non-rigid three-dimensional motion estimation from multiple video sequences. Our method minimizes the prediction error of the shape and motion estimates. Both problems then translate into a generic image registration task. The latter is entrusted to a similarity measure chosen depending on imaging conditions and scene properties. In particular, our method can be made robust to appearance changes due to non-Lambertian materials and illumination changes. It results in a simpler, more flexible, and more efficient implementation than existing deformable surface approaches. The computation time on large datasets does not exceed thirty minutes. Moreover, our method is compliant with a hardware implementation with graphics processor units. Our stereovision algorithm yields very good results on a variety of datasets including specularities and translucency. We have successfully tested our scene flow algorithm on a very challenging multi-view video sequence of a non-rigid scene.