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» Robust Adjusted Likelihood Function for Image Analysis
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SIP
2003
13 years 9 months ago
Robust Range Data Segmentation using Geometric Primitives for Robotic Applications
This paper presents a data-driven approach for segmenting range data to enable a humanoid robot to perform interactive domestic tasks. Range data is segmented into geometric primi...
Geoffrey Taylor, Lindsay Kleeman
BMVC
2000
13 years 9 months ago
A New Method for Computing Optical Flow
Accurate and high density estimation of optical flow vectors in an image sequence is accomplished by a method that estimates the velocity distribution function for small overlappi...
W. F. Clocksin
ICIP
2005
IEEE
14 years 2 months ago
Variational multi-wavelet restoration of noisy images
This paper presents a new technique for noise removal in images. It benefits both from the recent advances in waveletbased and variational denoising. Whereas wavelet-based analys...
Ronan Fablet, Jean-Marie Augustin
ISM
2006
IEEE
277views Multimedia» more  ISM 2006»
13 years 8 months ago
Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images
Curve evolution implementations [3][23] [25] of the Mumford-Shah functional [16] are of broad interest in image segmentation. These implementations, however, have initialization p...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...
CVPR
2008
IEEE
13 years 8 months ago
Intensity statistics-based HSI diffusion for color photo denoising
This paper presents a new image denoising model for real color photo noise removal. Our model is implemented in the hue, saturation and intensity (HSI) space. The hue and saturati...
Lei He, Chunming Li, Chenyang Xu