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» Learning Models for Object Recognition
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ICML
2003
IEEE
16 years 4 months ago
Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-W...
Aldebaro Klautau, Nikola Jevtic, Alon Orlitsky
TROB
2011
255views more  TROB 2011»
14 years 10 months ago
Active 3D Object Localization Using a Humanoid Robot
—We study the problem of actively searching for an object in a 3D environment under the constraint of a maximum search time, using a visually guided humanoid robot with twentysix...
Alexander Andreopoulos, Stephan Hasler, Heiko Wers...
CVPR
2012
IEEE
13 years 5 months ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...
IBPRIA
2005
Springer
15 years 8 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...
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ICPR
2004
IEEE
16 years 4 months ago
Discriminative Distance Measures for Image Matching
: Significant progress has been made by the computer vision community in recent years along two fronts: (i) developing complex spatial-temporal models for object registration and t...
Tat-Jen Cham, Xi Chen