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» Modeling Selective Perception of Complex, Natural Scenes
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ECCV
2002
Springer
14 years 9 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
BC
2007
102views more  BC 2007»
13 years 7 months ago
Bayesian processing of vestibular information
Complex self-motion stimulations in the dark can be powerfully disorienting and can create illusory motion percepts. In the absence of visual cues, the brain has to use angular and...
Jean Laurens, Jacques Droulez
3DPVT
2006
IEEE
167views Visualization» more  3DPVT 2006»
14 years 1 months ago
Hierarchical Representation of Virtual Cities for Progressive Transmission over Networks
Interactive network-based navigation over large urban environments raises difficult problems due to the size and complexity of these scenes. In this paper, we present a clientser...
Jérôme Royan, R. Balter, Christian Bo...
CVIU
2008
141views more  CVIU 2008»
13 years 7 months ago
Change detection using a statistical model in an optimally selected color space
We present a new noise model for color channels for statistical change detection. Based on this noise modeling, we estimate the distribution of Euclidean distances between the pix...
Youngbae Hwang, Jun-Sik Kim, In-So Kweon
ML
2000
ACM
103views Machine Learning» more  ML 2000»
13 years 7 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir