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CVPR
2007
IEEE
16 years 8 months ago
Global Optimization for Shape Fitting
We propose a global optimization framework for 3D shape reconstruction from sparse noisy 3D measurements frequently encountered in range scanning, sparse featurebased stereo, and ...
Victor S. Lempitsky, Yuri Boykov
CVPR
1999
IEEE
16 years 8 months ago
Integrating Shape from Shading and Range Data Using Neural Networks
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...
Mostafa G.-H. Mostafa, Sameh M. Yamany, Aly A. Far...
WSNA
2003
ACM
15 years 11 months ago
The coverage problem in a wireless sensor network
One fundamental issue in sensor networks is the coverage problem, which reflects how well a sensor network is monitored or tracked by sensors. In this paper, we formulate this pr...
Chi-Fu Huang, Yu-Chee Tseng
MM
2004
ACM
117views Multimedia» more  MM 2004»
15 years 12 months ago
Optimized mesh and texture multiplexing for progressive textured model transmission
An optimized scheme of multiplexing coded mesh and texture data to facilitate progressive transmission of 3D textured models is proposed in this work. The mesh and texture data of...
Sheng Yang, Chao-Hua Lee, C. C. Jay Kuo
AROBOTS
2004
104views more  AROBOTS 2004»
15 years 6 months ago
A Set Theoretic Approach to Dynamic Robot Localization and Mapping
This paper addresses the localization and mapping problem for a robot moving through a (possibly) unknown environment where indistinguishable landmarks can be detected. A set theo...
Mauro Di Marco, Andrea Garulli, Antonio Giannitrap...