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IJCV
1998
233views more  IJCV 1998»
13 years 5 months ago
A Level-Set Approach to 3D Reconstruction from Range Data
This paper presents a method that uses the level sets of volumes to reconstruct the shapes of 3D objects from range data. The strategy is to formulate 3D reconstruction as a stati...
Ross T. Whitaker
VIS
2009
IEEE
215views Visualization» more  VIS 2009»
14 years 7 months ago
Intrinsic Geometric Scale Space by Shape Diffusion
This paper formalizes a novel, intrinsic geometric scale space (IGSS) of 3D surface shapes. The intrinsic geometry of a surface is diffused by means of the Ricci flow for the gener...
Guangyu Zou, Jing Hua, Zhaoqiang Lai, Xianfeng ...
CVPR
2011
IEEE
12 years 9 months ago
Topologically-Robust 3D Shape Matching Based on Diffusion Geometry and Seed Growing
3D Shape matching is an important problem in computer vision. One of the major difficulties in finding dense correspondences between 3D shapes is related to the topological disc...
Avinash Sharma, Radu Horaud, Jan Cech, Edmond Boye...
3DPVT
2006
IEEE
210views Visualization» more  3DPVT 2006»
13 years 11 months ago
Multiview 3D Tracking with an Incrementally Constructed 3D Model
We propose a multiview tracking method for rigid objects. Assuming that a part of the object is visible in at least two cameras, a partial 3D model is reconstructed in terms of a ...
Karel Zimmermann, Tomás Svoboda, Jiri Matas
CVPR
2012
IEEE
11 years 8 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