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» Matching 2.5D Face Scans to 3D Models
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ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
14 years 3 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...
WSCG
2004
154views more  WSCG 2004»
13 years 10 months ago
Freeform Object Positioning by 3D Shape Matching Without Artificial Feature Points
Determining the position and orientation of a workpiece relative to a manufacturing device is a prerequisite for machining path planning. If the workpiece is freeform and if it co...
Joris S. M. Vergeest, Yu Song, D. Hartge
3DIM
2001
IEEE
14 years 7 days ago
Automatic 3D Modeling Using Range Images Obtained from Unknown Viewpoints
In this paper, we present a method for automatically creating a 3D model of a scene from a set of range images obtained from unknown viewpoints. Existing 3D modeling approaches re...
Daniel F. Huber
FGR
2008
IEEE
301views Biometrics» more  FGR 2008»
14 years 3 months ago
3D facial geometry recovery via group-wise optical flow
We describe an algorithm for automatically finding correspondences from face video sequences. This method is useful to many applications such as face tracking, face modeling and ...
Hui Fang, Nicholas Costen, David Cristinacce, John...
ICCV
2005
IEEE
14 years 2 months ago
Automatic 3D Face Modeling from Video
In this paper, we develop an efficient technique for fully automatic recovery of accurate 3D face shape from videos captured by a low cost camera. The method is designed to work ...
Le Xin, Qiang Wang, Jianhua Tao, Xiaoou Tang, Tien...