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» A Framework for Representing Moving Objects
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MVA
2000
166views Computer Vision» more  MVA 2000»
14 years 11 months ago
Motion Segmentation and Tracking by Embedding Global Model Within a Contextual Relaxation Scheme
IAPR Workshop on Machine Vision and Applications, pp. 455-458, 2000, Tokyo, Japan In this paper, we integrate the model-based tracking and local contexture (temporal and spatial) ...
Yunqiang Chen, Thomas S. Huang
RT
1995
Springer
15 years 1 months ago
A Framework for Global Illumination in Animated Environments
We describe a new framework for efficiently computing and storing global illumination effects for complex, animated environments. The new framework allows the rapid generation of ...
Jeffry Nimeroff, Julie Dorsey, Holly E. Rushmeier
CVPR
2011
IEEE
14 years 5 months ago
Object Stereo - Joint Stereo Matching and Object Segmentation
This paper presents a method for joint stereo matching and object segmentation. In our approach a 3D scene is represented as a collection of visually distinct and spatially cohere...
Michael Bleyer, Carsten Rother, Pushmeet Kohli, Da...
ICIP
2004
IEEE
15 years 11 months ago
A probabilistic framework for object recognition in video
We propose a solution to the problem of object recognition given a continuous video sequence containing multiple views of an object. Initially, object models are acquired from ima...
Omar Javed, Mubarak Shah, Dorin Comaniciu
70
Voted
CVPR
2010
IEEE
15 years 5 months ago
A Novel Riemannian Framework for Shape Analysis of 3D Objects
In this paper we introduce a novel Riemannian framework for shape analysis of parameterized surfaces. We derive a distance function between any two surfaces that is invariant to r...
Sebastian Kurtek, Eric Klassen, Anuj Srivastava, Z...