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» Learning Models for Object Recognition
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257
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CRV
2011
IEEE
337views Robotics» more  CRV 2011»
14 years 3 months ago
Object Detection Using Principal Contour Fragments
Abstract—Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour [6...
Changhai Xu, Benjamin Kuipers
124
Voted
CA
2002
IEEE
15 years 8 months ago
Polyhedral Object Detection and Pose Estimation for Augmented Reality Applications
In augmented reality applications, tracking and registration of both cameras and objects is required because, to combine real and rendered scenes, we must project synthetic models...
Ali Shahrokni, Luca Vacchetti, Vincent Lepetit, Pa...
203
Voted
SPIESR
2004
196views Database» more  SPIESR 2004»
15 years 4 months ago
Automatic textual annotation of video news based on semantic visual object extraction
In this paper, we present our work for automatic generation of textual metadata based on visual content analysis of video news. We present two methods for semantic object detectio...
Nozha Boujemaa, François Fleuret, Val&eacut...
132
Voted
CIARP
2006
Springer
15 years 5 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...
207
Voted
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...