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» On improving point-based 3D recognition
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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
CVPR
2006
IEEE
14 years 9 months ago
Joint Boosting Feature Selection for Robust Face Recognition
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang
TEC
2002
81views more  TEC 2002»
13 years 7 months ago
Genetic object recognition using combinations of views
We investigate the application of genetic algorithms (GAs) for recognizing real two-dimensional (2-D) or three-dimensional (3-D) objects from 2-D intensity images, assuming that th...
George Bebis, Evangelos A. Yfantis, Sushil J. Loui...
ICPR
2008
IEEE
14 years 8 months ago
On averaging face images for recognition under pose variations
Recently, psychological studies showed that averaging human face images greatly improves the performance of face recognition under various pose, illumination, expression, and/or a...
Sanqiang Zhao, Xiaozheng Zhang, Yongsheng Gao
CISS
2010
IEEE
12 years 11 months ago
Using laser scanners for modeling and analysis in architecture, engineering, and construction
— Laser scanners are rapidly gaining acceptance as a tool for three dimensional (3D) modeling and analysis in the architecture, engineering, and construction (AEC) domain. Since ...
Daniel Huber, Burcu Akinci, Pingbo Tang, Antonio A...