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CLOR
2006
15 years 10 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman
DAGM
2006
Springer
15 years 10 months ago
Properties of Patch Based Approaches for the Recognition of Visual Object Classes
Abstract. Patch based approaches have recently shown promising results for the recognition of visual object classes. This paper investigates the role of different properties of pat...
Alexandra Teynor, Esa Rahtu, Lokesh Setia, Hans Bu...
ICIP
2007
IEEE
16 years 8 months ago
Object Recognition Based on Dependent Pachinko Allocation Model
Recently the "bag of words" model becomes popular in the approaches to object recognition. These approaches model an image as a collection of local patches called "...
Yuanning Li, Weiqiang Wang, Wen Gao
ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
16 years 3 hour ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
AMFG
2003
IEEE
150views Biometrics» more  AMFG 2003»
15 years 10 months ago
Multi-Modal 2D and 3D Biometrics for Face Recognition
Results are presented for the largest experimental study to date that investigates the comparison and combination of 2D and 3D face data for biometric recognition. To our knowledg...
Kyong I. Chang, Kevin W. Bowyer, Patrick J. Flynn