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» Point cloud matching based on 3D self-similarity
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CVPR
2012
IEEE
12 years 1 months ago
Point cloud matching based on 3D self-similarity
Point cloud is one of the primitive representations of 3D data nowadays. Despite that much work has been done in 2D image matching, matching 3D points achieved from different pers...
Jing Huang, Suya You
ICIP
2006
IEEE
15 years 25 days ago
Invariant Geometric Representation of 3D Point Clouds for Registration and Matching
Though implicit representations of surfaces have often been used for various computer graphics tasks like modeling and morphing of objects, it has rarely been used for registratio...
Soma Biswas, Gaurav Aggarwal, Rama Chellappa
ICPR
2008
IEEE
15 years 11 days ago
3D Shape Context and Distance Transform for action recognition
We propose the use of 3D (2D+time) Shape Context to recognize the spatial and temporal details inherent in human actions. We represent an action in a video sequence by a 3D point ...
Franziska Meier, Irfan A. Essa, Matthias Grundmann
CVPR
2010
IEEE
14 years 3 months ago
Model Globally, Match Locally: Efficient and Robust 3D Object Recognition
This paper addresses the problem of recognizing freeform 3D objects in point clouds. Compared to traditional approaches based on point descriptors, which depend on local informati...
Bertram Drost, Markus Ulrich, Nassir Navab, Slobod...
WSCG
2004
154views more  WSCG 2004»
14 years 16 days 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