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ICCV
2009
IEEE
2301views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Class Segmentation and Object Localization with Superpixel Neighborhoods
We propose a method to identify and localize object classes in images. Instead of operating at the pixel level, we advocate the use of superpixels as the basic unit of a class s...
Brian Fulkerson, Andrea Vedaldi, Stefano Soatto
ICCV
2005
IEEE
16 years 8 months ago
Improved Sub-pixel Stereo Correspondences through Symmetric Refinement
Most dense stereo correspondence algorithms start by establishing discrete pixel matches and later refine these matches to sub-pixel precision. Traditional sub-pixel refinement me...
Diego Nehab, Szymon Rusinkiewicz, James Davis
ICCV
2001
IEEE
16 years 8 months ago
Euclidean Reconstruction and Auto-Calibration from Continuous Motion
This paper deals with the problem of incorporating natural regularity conditions on the motion in an MAP estimator for structure and motion recovery from uncalibrated image sequen...
Fredrik Kahl, Anders Heyden
ICIP
2006
IEEE
16 years 7 months ago
Distributed Acquisition and Image Super-Resolution Based on Continuous Moments from Samples
Recently, new sampling schemes were presented for signals with finite rate of innovation (FRI) using sampling kernels reproducing polynomials or exponentials [1] [2]. In this pape...
Loïc Baboulaz, Pier Luigi Dragotti
ICIP
2005
IEEE
16 years 7 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski