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» Learning Models for Object Recognition
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ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
16 years 28 days 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»
14 years 10 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
15 years 10 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
16 years 8 months 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
16 years 11 days 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