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VCIP
2003
118views Communications» more  VCIP 2003»
14 years 11 months ago
Object and event recognition for stroke rehabilitation
Stroke is a major cause of disability and health care expenditure around the world. Existing stroke rehabilitation methods can be effective but are costly and need to be improved....
Ahmed Ghali, Andrew S. Cunningham, Tony P. Pridmor...
WACV
2005
IEEE
15 years 3 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
ACCV
2007
Springer
15 years 4 months ago
Object Detection Combining Recognition and Segmentation
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
Liming Wang, Jianbo Shi, Gang Song, I-fan Shen
CVPR
2004
IEEE
15 years 12 months ago
Extraction and Recognition of Periodically Deforming Objects by Continuous, Spatio-Temporal Shape Description
We demonstrate a novel approach to modelling arbitrary temporally-deforming objects using spatio-temporal Fourier descriptors. This is a continuous boundary descriptor, which can ...
Stuart D. Mowbray, Mark S. Nixon
IJCV
2006
115views more  IJCV 2006»
14 years 10 months ago
Object Recognition as Many-to-Many Feature Matching
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman...