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» Recovering Articulated Object Models from 3D Range Data
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ICIP
2006
IEEE
14 years 10 months ago
Supershape Recovery from 3D Data Sets
In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are u...
Andrei V. Gribok, Frédéric Truchetet...
AMDO
2000
Springer
14 years 27 days ago
Model Adaptation and Posture Estimation of Moving Articulated Object Using Monocular Camera
This paper presents a method of estimating both 3-D shapes and moving poses of an articulated object from a monocular image sequence. Instead of using direct depth data, prior loo...
Nobutaka Shimada, Yoshiaki Shirai, Yoshinori Kuno
3DPVT
2002
IEEE
184views Visualization» more  3DPVT 2002»
14 years 1 months ago
From 3D Shape Capture to Animated Models
This paper presents a framework for construction of animated models from captured surface shape of real objects. Algorithms are introduced to transform the captured surface shape ...
Adrian Hilton, Jonathan Starck, Gordon Collins
IVCNZ
1998
13 years 10 months ago
Towards 3D Model Reconstruction from Photometric Stereo
In this highly technological world, various methods have been developed for the purpose of recovering the shape of 3D objects from 2D images. In this paper, we introduce methods t...
Angela Kar-Man Ng, Karsten Schlüns
TVCG
2008
162views more  TVCG 2008»
13 years 8 months ago
3D Modeling of Optically Challenging Objects
We present a system for constructing 3D models of real-world objects with optically challenging surfaces. The system utilizes a new range imaging concept called multipeak range ima...
Johnny Park, Avinash C. Kak