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ICRA
2010
IEEE
135views Robotics» more  ICRA 2010»
14 years 8 months ago
Using multiple hypothesis in model-based tracking
— Classic registration methods for model-based tracking try to align the projected edges of a 3D model with the edges of the image. However, wrong matches at low level can make t...
Céline Teuliere, Éric Marchand, Laur...
ICIP
2009
IEEE
14 years 7 months ago
Robust 3D pose estimation from multiple video cameras
In this paper, we introduce a method to estimate the object's pose from multiple video cameras. We derive a centralized solution to pose estimation from multiple video camera...
Chong Chen, Dan Schonfeld

Source Code
7589views
16 years 5 months ago
MATLAB and Octave Functions for Computer Vision and Image Processing
Great Matlab and Octave function implementation for hot computer vision algorithms such as Feature detection via Phase Congruency, Spatial feature detection, Non-maxima suppression...
P. D. Kovesi
IJCV
2002
108views more  IJCV 2002»
14 years 9 months ago
Epipolar Geometry for Central Catadioptric Cameras
Abstract. In this paper we present an automatic hybrid matching system mixing images coming from central catadioptric systems and conventional cameras. We analyze three models of h...
Tomás Svoboda, Tomás Pajdla
MICCAI
2005
Springer
15 years 10 months ago
Shape Modeling Using Automatic Landmarking
Abstract. This paper describes a novel approach to automatically recover accurate correspondence over various shapes. In order to detect the features points with the capability in ...
Jun Xie, Pheng-Ann Heng