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» Boosting Object Detection Using Feature Selection
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ECCV
1998
Springer
16 years 4 months ago
Object Oriented Motion Estimation in Color Image Sequences
Abstract. This paper describes a color region-based approach to motion estimation in color image sequences. The system is intended for robotic and vehicle guidance applications whe...
Volker Rehrmann
ICMCS
2005
IEEE
105views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Audio-visual affect recognition in activation-evaluation space
The ability of a computer to detect and appropriately respond to changes in a user’s affective state has significant implications to Human-Computer Interaction (HCI). To more ac...
Zhihong Zeng, ZhenQiu Zhang, Brian Pianfetti, Jili...
CIVR
2008
Springer
138views Image Analysis» more  CIVR 2008»
15 years 4 months ago
MyPlaces: detecting important settings in a visual diary
We describe a novel approach to identifying specific settings in large collections of passively captured images corresponding to a visual diary. An algorithm developed for setting...
Michael Blighe, Noel E. O'Connor
CVPR
2009
IEEE
1524views Computer Vision» more  CVPR 2009»
16 years 9 months ago
3D Pose Estimation and Segmentation using Specular Cues
We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection...
Ju Yong Chang, Ramesh Raskar, Amit K. Agrawal
GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
15 years 3 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...