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PAMI
2010
160views more  PAMI 2010»
14 years 10 months ago
Photometric Stereo via Expectation Maximization
—This paper presents a robust and automatic approach to photometric stereo, where the two main components, namely surface normals and visible surfaces, are respectively optimized...
Tai-Pang Wu, Chi-Keung Tang
ICIAR
2010
Springer
14 years 9 months ago
Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
Nicola Greggio, Alexandre Bernardino, José ...
ICIP
2003
IEEE
16 years 1 months ago
Fast GEM wavelet-based image deconvolution algorithm
The paper proposes a new wavelet-based Bayesian approach to image deconvolution, under the space-invariant blur and additive white Gaussian noise assumptions. Image deconvolution ...
José M. Bioucas-Dias
CVPR
2000
IEEE
16 years 1 months ago
Mixture Models and the Segmentation of Multimodal Textures
A problem of using mixture-of-Gaussian models for unsupervised texturesegmentationisthat "multimodal"textures(such ascan often be encountered in natural images) cannot b...
Roberto Manduchi
JCPHY
2011
104views more  JCPHY 2011»
14 years 2 months ago
Gaussian beam decomposition of high frequency wave fields using expectation-maximization
A new numerical method for approximating highly oscillatory wave fields as a superposition of Gaussian beams is presented. The method estimates the number of beams and their para...
Gil Ariel, Björn Engquist, Nicolay M. Tanushe...