Generating octree models of 3D objects from their silhouettes in a sequence of images
Computer Vision, Graphics, and Image Processing
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Shape from shading
Using Extremal Boundaries for 3-D Object Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Surface shape from the deformation of apparent contours
International Journal of Computer Vision
Rapid octree construction from image sequences
CVGIP: Image Understanding
A Theory of Shape by Space Carving
International Journal of Computer Vision - Special issue on Genomic Signal Processing
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Photorealistic Scene Reconstruction by Voxel Coloring
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Complete scene structure from four point correspondences
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
3D Reconstruction with projective Octrees and Epipolar Geometry
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Variational principles, surface evolution, PDEs, level set methods, and the stereo problem
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination
International Journal of Computer Vision
Continuous Global Optimization in Multiview 3D Reconstruction
International Journal of Computer Vision
Adaptive Foreground/Background Segmentation Using Multiview Silhouette Fusion
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Continuous global optimization in multiview 3D reconstruction
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
N-view human silhouette segmentation in cluttered, partially changing environments
Proceedings of the 32nd DAGM conference on Pattern recognition
Spatio-temporal optimization for foreground/background segmentation
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Hi-index | 0.00 |
We propose a probabilistic formulation of 3D segmentation given a series of images from calibrated cameras. Instead of segmenting each image separately in order to build a 3D surface consistent with these segmentations, we compute the most probable surface that gives rise to the images. Additionally, our method can reconstruct the mean intensity and variance of the extracted object and background. Although it is designed for scenes, where the objects can be distinguished visually from the background (i.e. images of piecewise homogeneous regions), the proposed algorithm can also cope with noisy data. We carry out the numerical implementation in the level set framework. Our experiments on synthetic data sets reveal favorable results compared to state-of-the-art methods, in particular in terms of robustness to noise and initialization.