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» Robust Statistics for 3D Object Tracking
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CGF
2008
125views more  CGF 2008»
13 years 7 months ago
Sparse points matching by combining 3D mesh saliency with statistical descriptors
This paper proposes new methodology for the detection and matching of salient points over several views of an object. The process is composed by three main phases. In the first st...
Umberto Castellani, Marco Cristani, Simone Fantoni...
ICRA
2010
IEEE
343views Robotics» more  ICRA 2010»
13 years 6 months ago
Hands in action: real-time 3D reconstruction of hands in interaction with objects
— This paper presents a method for vision based estimation of the pose of human hands in interaction with objects. Despite the fact that most robotics applications of human hand ...
Javier Romero, Hedvig Kjellström, Danica Krag...
CVPR
2009
IEEE
13 years 11 months ago
Shape-based object recognition in videos using 3D synthetic object models
In this paper we address the problem of recognizing moving objects in videos by utilizing synthetic 3D models. We use only the silhouette space of the synthetic models making thus...
Alexander Toshev, Ameesh Makadia, Kostas Daniilidi...
VMV
2008
170views Visualization» more  VMV 2008»
13 years 9 months ago
Robust contour-based object tracking integrating color and edge likelihoods
We present in this paper a novel object tracking system based on 3D contour models. For this purpose, we integrate two complimentary likelihoods, defined on local color statistics...
Giorgio Panin, Erwin Roth, Alois Knoll
ICRA
2006
IEEE
223views Robotics» more  ICRA 2006»
14 years 1 months ago
Real-time 3D Model-based Tracking: Combining Edge and Texture Information
— This paper proposes a real-time, robust and efficient 3D model-based tracking algorithm. A non linear minimization approach is used to register 2D and 3D cues for monocular 3D...
Muriel Pressigout, Éric Marchand