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» Second order image statistics in computer graphics
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ICASSP
2010
IEEE
15 years 2 months ago
Reconstruction of sparse signals from distorted randomized measurements
In this paper we show that, surprisingly, it is possible to recover sparse signals from nonlinearly distorted measurements, even if the nonlinearity is unknown. Assuming just that...
Petros Boufounos
VIS
2004
IEEE
169views Visualization» more  VIS 2004»
16 years 3 months ago
Rendering Implicit Flow Volumes
Traditional flow volumes construct an explicit geometrical or parametrical representation from the vector field. The geometry is updated interactively and then rendered using an u...
Daqing Xue, Caixia Zhang, Roger Crawfis
153
Voted
ECCV
2002
Springer
16 years 3 months ago
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
Feng Han, Zhuowen Tu, Song Chun Zhu
95
Voted
CHI
2005
ACM
16 years 2 months ago
Towards knowledge building in professional groups
In this submission for the CHI05 Development forum, I reflect on my experience leading the Experience Design community of interest of the American Institute of Graphic Arts and su...
John Zapolski
ICCV
2001
IEEE
16 years 3 months ago
A Novel Modeling Algorithm for Shape Recovery of Unknown Topology
This paper presents a novel modeling algorithm that is capable of simultaneously recovering correct shape geometry as well as its unknown topology from arbitrarily complicated dat...
Ye Duan, Hong Qin