Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Level set diagrams of polyhedral objects
Proceedings of the fifth ACM symposium on Solid modeling and applications
ACM Transactions on Graphics (TOG)
3D Shape Histograms for Similarity Search and Classification in Spatial Databases
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Unsupervised Analysis of Human Gestures
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
The space of human body shapes: reconstruction and parameterization from range scans
ACM SIGGRAPH 2003 Papers
Rotation invariant spherical harmonic representation of 3D shape descriptors
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Affine-Invariant Skeleton of 3D Shapes
SMI '02 Proceedings of the Shape Modeling International 2002 (SMI'02)
Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape-From-Silhouette Across Time Part I: Theory and Algorithms
International Journal of Computer Vision
Conformal Metrics and True "Gradient Flows" for Curves
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
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
Invariant High Level Reeb Graphs of 3D Polygonal Meshes
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Surface Capture for Performance-Based Animation
IEEE Computer Graphics and Applications
A probabilistic approach for 3D shape retrieval by characteristic views
Pattern Recognition Letters
Motion segmentation and retrieval for 3D video based on modified shape distribution
EURASIP Journal on Applied Signal Processing
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
Möbius voting for surface correspondence
ACM SIGGRAPH 2009 papers
A concise and provably informative multi-scale signature based on heat diffusion
SGP '09 Proceedings of the Symposium on Geometry Processing
Shape Similarity for 3D Video Sequences of People
International Journal of Computer Vision
Computer Vision and Image Understanding
Automated gesture segmentation from dance sequences
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
A New 3D-Matching Method of Nonrigid and Partially Similar Models Using Curve Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Analysis of Elastic Curves in Euclidean Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topology Dictionary for 3D Video Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Elastic Sequence Correlation for Human Action Analysis
IEEE Transactions on Image Processing
Hierarchical querying scheme of human motions for smart home environment
Engineering Applications of Artificial Intelligence
Pairwise Harmonics for Shape Analysis
IEEE Transactions on Visualization and Computer Graphics
3D Face Recognition under Expressions, Occlusions, and Pose Variations
IEEE Transactions on Pattern Analysis and Machine Intelligence
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3D shape similarity from video is a challenging problem lying at the heart of many primary research areas in computer graphics and computer vision applications. In this paper, we address within a new framework the problem of 3D shape representation and shape similarity in human video sequences. Our shape representation is formulated using extremal human curve (EHC) descriptor extracted from the body surface. It allows taking benefits from Riemannian geometry in the open curve shape space and therefore computing statistics on it. It also allows subject pose comparison regardless of geometrical transformations and elastic surface change. Shape similarity is performed by an efficient method which takes advantage of a compact EHC representation in open curve shape space and an elastic distance measure. Thanks to these main assets, several important exploitations of the human action analysis are performed: shape similarity computation, video sequence comparison, video segmentation, video clustering, summarization and motion retrieval. Experiments on both synthetic and real 3D human video sequences show that our approach provides an accurate static and temporal shape similarity for pose retrieval in video, compared with the state-of-the-art approaches. Moreover, local 3D video retrieval is performed using motion segmentation and dynamic time warping (DTW) algorithm in the feature vector space. The obtained results are promising and show the potential of this approach.