Learning flexible models from image sequences
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Active shape models—their training and application
Computer Vision and Image Understanding
BMVC '95 Proceedings of the 1995 British conference on Machine vision (Vol. 1)
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Mixtures of probabilistic principal component analyzers
Neural Computation
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Mode-Finding for Mixtures of Gaussian Distributions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image-based 3D photography using opacity hulls
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Principal Manifolds and Probabilistic Subspaces for Visual Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boundary Finding with Prior Shape and Smoothness Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polyhedral Visual Hulls for Real-Time Rendering
Proceedings of the 12th Eurographics Workshop on Rendering Techniques
Photorealistic Scene Reconstruction by Voxel Coloring
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Multidimensional Morphable Models
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Illumination Normalization with Time-Dependent Intrinsic Images for Video Surveillance
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Reliability-based 3D reconstruction in real environment
Proceedings of the 15th international conference on Multimedia
Optimal Camera Placement for Automated Surveillance Tasks
Journal of Intelligent and Robotic Systems
Compensated Visual Hull with GPU-Based Optimization
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
View-independent human motion classification using image-based reconstruction
Image and Vision Computing
Toward cinematizing our daily lives
Multimedia Tools and Applications
Adaptive Foreground/Background Segmentation Using Multiview Silhouette Fusion
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Multi-view Occlusion Reasoning for Probabilistic Silhouette-Based Dynamic Scene Reconstruction
International Journal of Computer Vision
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
3D Human model adaptation by frame selection and shape-texture optimization
Computer Vision and Image Understanding
3D-live: live interactions through 3D visual environments
Proceedings of the 2012 Virtual Reality International Conference
Rapid synchronous acquisition of geometry and appearance of cultural heritage artefacts
VAST'05 Proceedings of the 6th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
Bayesian 3D shape from silhouettes
Digital Signal Processing
Iterative cage-based registration from multi-view silhouettes
Proceedings of the 10th European Conference on Visual Media Production
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We present a Bayesian approach to image-based visual hull reconstruction. The 3-D shape of an object of a known class is represented by sets of silhouette views simultaneously observed from multiple cameras. We show how the use of a class-specific prior in a visual hull reconstruction can reduce the effect of segmentation errors from the silhouette extraction process. In our representation, 3-D information is implicit in the joint observations of multiple contours from known viewpoints. We model the prior density using a probabilistic principal components analysis-based technique and estimate a maximum a posteriori reconstruction of multi-view contours. The proposed method is applied to a dataset of pedestrian images, and improvements in the approximate 3-D models under various noise conditions are shown.