Titlebook: Articulated Motion and Deformable Objects; 7th International Co Francisco J. Perales,Robert B. Fisher,Thomas B. Mo Conference proceedings 2

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Inclement

Spatial Measures between Human Poses for Classification and Understanding,ell as a fast approximation that allows for large-scale analysis. In the experiments we show that this measure significantly outperforms the traditional measure in classification, clustering and dimensionality reduction tasks.

Innocence

User Identification and Object Recognition in Clutter Scenes Based on RGB-Depth Analysis,t learning a pixel-based background Gaussian distribution. Then, user and object candidate regions are detected and recognized online using robust statistical approaches over RGBD descriptions. Finally, the system saves the historic of user-object assignments, being specially useful for surveillance

反復無常

Compression Techniques for 3D Video Mesh Sequences,n evaluation of compression techniques which apply Principal Component Analysis to the representation of the mesh in different domain spaces, and demonstrate the applicability of mesh deformation algorithms for compression purposes. A novel layered mesh representation is introduced for compression o

有常識

顛簸地移動

Real-Time Pose Estimation Using Constrained Dynamics,propose a novel pose estimation method based on fitting a skeletal model to tree structures built from skeletonised visual hulls reconstructed from multi-view video. The pose is estimated independently in each frame, hence the method can recover from errors in previous frames, which overcomes some p

opportune

不可思議

CALL

Improving Gestural Communication in Virtual Characters,ages. In this paper, we present the research to improve communication in virtual characters no matter if it is spoken or signed using non-verbal communication. A brief study of hand gestures has been made to obtain some rules to improve natural behaviour in virtual characters. These rules, like the

敵手

Multi-view Body Tracking with a Detector-Driven Hierarchical Particle Filter,osed method fuses cues from multiple views to enhance the propagation and observation model of particle filtering methods aiming at human motion capture. We particularize our method to improve arm tracking in the publicly available IXMAS dataset. Our experiments show that the proposed method outperf