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» Using stereo for object recognition
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128
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PAMI
2002
112views more  PAMI 2002»
15 years 3 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
131
Voted
CIARP
2007
Springer
15 years 9 months ago
Robust Color Contour Object Detection Invariant to Shadows
In this work a new robust color and contour based object detection method in images with varying shadows is presented. The method relies on a physics-based contour detector that em...
Jorge Scandaliaris, Michael Villamizar, Juan Andra...
129
Voted
CVPR
2007
IEEE
16 years 5 months ago
A Topic-Motion Model for Unsupervised Video Object Discovery
The bag-of-words representation has attracted a lot of attention recently in the field of object recognition. Based on the bag-of-words representation, topic models such as Probab...
David Liu, Tsuhan Chen
113
Voted
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
16 years 4 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
155
Voted
IBPRIA
2005
Springer
15 years 9 months ago
Illumination Intensity, Object Geometry and Highlights Invariance in Multispectral Imaging
It is well-known that image pixel values of an object could vary if the lighting conditions change. Some common factors that produce changes in the pixels values are due to the vie...
Raúl Montoliu, Filiberto Pla, Arnoud C. Kla...