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PAMI
2010
160views more  PAMI 2010»
13 years 5 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
13 years 4 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
14 years 8 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
14 years 9 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»
12 years 10 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...