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» Geometric Integrability and Consistency of 3D Point Clouds
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ICCV
2007
IEEE
14 years 6 months ago
Geometric Integrability and Consistency of 3D Point Clouds
Numerous applications processing 3D point data will gain from the ability to estimate reliably normals and differential geometric properties. Normal estimates are notoriously nois...
George Kamberov, Gerda Kamberova
RAS
2008
139views more  RAS 2008»
13 years 2 months ago
Towards 3D Point cloud based object maps for household environments
This article investigates the problem of acquiring 3D object maps of indoor household environments, in particular kitchens. The objects modeled in these maps include cupboards, ta...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...
ISVC
2010
Springer
13 years 2 months ago
Markov Random Field-Based Clustering for the Integration of Multi-view Range Images
Abstract. Multi-view range image integration aims at producing a single reasonable 3D point cloud. The point cloud is likely to be inconsistent with the measurements topologically ...
Ran Song, Yonghuai Liu, Ralph R. Martin, Paul L. R...
ICIP
2006
IEEE
14 years 6 months 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
3DPVT
2004
IEEE
149views Visualization» more  3DPVT 2004»
13 years 8 months ago
Fan-Meshes: A Geometric Primitive for Point-Based Description of 3D Models and Scenes
We propose a new data structure, called Fan-Meshes (FM), for reconstructing 3D models and scenes represented by dense scanning point clouds. It is a local piecewise linear approxi...
Xiaotian Yan, Fang Meng, Hongbin Zha