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» Classification of Optical Flow by Constraints
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3DPH
2009
128views Healthcare» more  3DPH 2009»
13 years 8 months ago
Predicting Missing Markers in Real-Time Optical Motion Capture
Abstract. A common problem in optical motion capture of human-body movement is the so-called missing marker problem. The occlusion of markers can lead to significant problems in tr...
Tommaso Piazza, Johan Lundström, Andreas Kunz...
JCIT
2007
62views more  JCIT 2007»
13 years 7 months ago
Identification of Economic Cluster with Information Gain Method, based on Input-Output Tables
In this paper, we propose a more flexible “economic cluster identification” approach to analyzing the domestic I/O flows of intermediary goods and service that is based on inf...
Bae Sangbin, Moon Kyungil
CVPR
2009
IEEE
15 years 2 months ago
Contextual Flow
Matching based on local brightness is quite limited, because small changes on local appearance invalidate the constancy in brightness. The root of this limitation is its treatme...
Ying Wu (Northwestern University), Jialue Fan (Nor...
AIPR
2001
IEEE
13 years 11 months ago
Model-Based Face Tracking for Dense Motion Field Estimation
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
Timothy F. Gee, Russell M. Mersereau
ICCV
2007
IEEE
14 years 9 months ago
Robust Visual Tracking Using the Time-Reversibility Constraint
Visual tracking is a very important front-end to many vision applications. We present a new framework for robust visual tracking in this paper. Instead of just looking forward in ...
Hao Wu, Rama Chellappa, Aswin C. Sankaranarayanan,...