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CVPR
1997
IEEE
14 years 1 months ago
Feature Tracking from an Image Sequence Using Geometric Invariants
In this paper two new feature tracking algorithms are proposed. In the first algorithm, a perspective camera model is used. Making use of the projective inuariant of Barrett, and ...
Hung-Tat Tsui, Zhong-Ying Zhang, Shao-Hua Kong
DICTA
2003
13 years 10 months ago
Face Recognition Based on Multiple Region Features
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
Jiaming Li, Geoff Poulton, Ying Guo, Rong-yu Qiao
VCIP
2003
238views Communications» more  VCIP 2003»
13 years 10 months ago
Texture segmentation based on features in wavelet domain for image retrieval
Texture is a fundamental feature which provides significant information for image classification, and is an important content used in content-based image retrieval (CBIR) system. ...
Ying Liu, Si Wu, Xiaofang Zhou
CVPR
2005
IEEE
14 years 10 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
ICARCV
2008
IEEE
154views Robotics» more  ICARCV 2008»
14 years 3 months ago
Detecting spurious features using parity space
—Detection of spurious features is instrumental in many computer vision applications. The standard approach is feature based, where extracted features are matched between the ima...
David Törnqvist, Thomas B. Schön, Fredri...