A survey of construction and manipulation of octrees
Computer Vision, Graphics, and Image Processing
GERTIS: a Dempster-Shafer approach to diagnosing hierarchical hypotheses
Communications of the ACM
The Combination of Evidence in the Transferable Belief Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereoscopic tracking of bodies in motion
Image and Vision Computing - Special issue: 5th Alvey vision meeting
Artificial Intelligence
Automatic Model Construction and Pose Estimation From Photographs Using Triangular Splines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Acquiring 3-D Models from Sequences of Contours
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
Geometric modeling for computer vision.
Geometric modeling for computer vision.
Fusion of Multi-View Silhouette Cues Using a Space Occupancy Grid
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Free viewpoint action recognition using motion history volumes
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Multisensor triplet Markov chains and theory of evidence
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
ECM: An evidential version of the fuzzy c-means algorithm
Pattern Recognition
Depth silhouettes for gesture recognition
Pattern Recognition Letters
Multicamera People Tracking with a Probabilistic Occupancy Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Shape from inconsistent silhouette
Computer Vision and Image Understanding
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Multi-camera people tracking using evidential filters
International Journal of Approximate Reasoning
ACISP'07 Proceedings of the 12th Australasian conference on Information security and privacy
A multiview approach to tracking people in crowded scenes using a planar homography constraint
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Risk assessment based on weak information using belief functions: a case study in water treatment
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Visual capture and understanding of hand pointing actions in a 3-D environment
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
EVCLUS: evidential clustering of proximity data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Assessment of E-Commerce security using AHP and evidential reasoning
Expert Systems with Applications: An International Journal
Shape from pairwise silhouettes for plan-view map generation
Image and Vision Computing
Shape from Silhouette Consensus
Pattern Recognition
An octree-based method for shape from inconsistent silhouettes
Pattern Recognition
Knowledge-Based Systems
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This work proposes a novel shape from silhouette (SfS) algorithm using the Dempster-Shafer (DS) theory for dealing with inconsistent silhouettes. Standard SfS methods makes assumptions about consistency in the silhouettes employed. However, total consistency hardly ever happens in realistic scenarios because of inaccuracies in the background subtraction or occlusions, thus leading to poor reconstruction outside of controlled environments. Our method classify voxels using the DS theory instead of the traditional intersection of all visual cones. Sensors reliability is modelled taking into account the positional relationships between camera pairs and voxels. This information is employed to determine the degree in which a voxel belongs to a foreground object. Finally, evidences collected from all sensors are fused to choose the best hypothesis that determines the voxel state. Experiments performed with synthetic and real data show that our proposal outperforms the traditional SfS method and other techniques specifically designed to deal with inconsistencies. In addition, our method includes a parameter for adjusting the precision of the reconstructions so that it could be adapted to the application requirements.