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» Recovering Articulated Object Models from 3D Range Data
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3DIM
2011
IEEE
12 years 8 months ago
A Non-cooperative Game for 3D Object Recognition in Cluttered Scenes
Abstract—During the last few years a wide range of algorithms and devices have been made available to easily acquire range images. To this extent, the increasing abundance of dep...
Andrea Albarelli, Emanuele Rodolà, Filippo ...
ISVC
2009
Springer
14 years 1 months ago
A 3D Active Surface Model for the Accurate Segmentation of Drosophila Schneider Cell Nuclei and Nucleoli
Abstract. We present an active surface model designed for the segmentation of Drosophila Schneider cell nuclei and nucleoli from wide-field microscopic data. The imaging technique...
Margret Keuper, Jan Padeken, Patrick Heun, Hans Bu...
CVPR
2008
IEEE
14 years 10 months ago
Drift-free tracking of rigid and articulated objects
Model-based 3D tracker estimate the position, rotation, and joint angles of a given model from video data of one or multiple cameras. They often rely on image features that are tr...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
AMFG
2003
IEEE
118views Biometrics» more  AMFG 2003»
14 years 1 months ago
Shape and appearance models of talking faces for model-based tracking
This article presents a system that can recover and track the 3D speech movements of a speaker’s face for each image of a monocular sequence. A speaker-specific face model is u...
Matthias Odisio, Gérard Bailly
MVA
2007
216views Computer Vision» more  MVA 2007»
13 years 8 months ago
Pose estimation for objects with planar surfaces using eigenimage and range data analysis
In this paper we present a novel method for estimating the object pose for 3D objects with welldefined planar surfaces. Specifically, we investigate the feasibility of estimating...
Ovidiu Ghita, Paul F. Whelan, David Vernon, John M...