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» Learning Models for Object Recognition
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ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 4 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
MMM
2011
Springer
228views Multimedia» more  MMM 2011»
13 years 1 months ago
A Semantic Higher-Level Visual Representation for Object Recognition
Having effective methods to access the images with desired object is essential nowadays with the availability of huge amount of digital images. We propose a semantic higher-level ...
Ismail Elsayad, Jean Martinet, Thierry Urruty, Cha...
ICIAP
1997
ACM
14 years 2 months ago
Color Based Object Recognition
The purpose is to arrive at recognition of multicolored objects invariant to a substantial change in viewpoint, object geometry and illumination. Assuming dichromatic reflectance...
Theo Gevers, Arnold W. M. Smeulders
CVPR
2003
IEEE
15 years 8 days ago
A Bayesian Framework for Fusing Multiple Word Knowledge Models in Videotext Recognition
Videotext recognition is challenging due to low resolution, diverse fonts/styles, and cluttered background. Past methods enhanced recognition by using multiple frame averaging, im...
DongQing Zhang, Shih-Fu Chang
UM
2007
Springer
14 years 4 months ago
Inducing User Affect Recognition Models for Task-Oriented Environments
Accurately recognizing users’ affective states could contribute to more productive and enjoyable interactions, particularly for task-oriented learning environments. In addition t...
Sunyoung Lee, Scott W. McQuiggan, James C. Lester