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» Matching images more efficiently with local descriptors
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ECCV
2008
Springer
15 years 7 days ago
Localizing Objects with Smart Dictionaries
Abstract. We present an approach to determine the category and location of objects in images. It performs very fast categorization of each pixel in an image, a brute-force approach...
Brian Fulkerson, Andrea Vedaldi, Stefano Soatto
MICCAI
1998
Springer
14 years 2 months ago
Motion Measurements in Low-Contrast X-ray Imagery
Measuring motion in medical imagery becomes more and more important, in particular for object tracking, image registration, and local displacement measurements. Often, the require...
Martin Berger, Guido Gerig
ECCV
2010
Springer
13 years 10 months ago
Object Recognition with Hierarchical Stel Models
Abstract. We propose a new generative model, and a new image similarity kernel based on a linked hierarchy of probabilistic segmentations. The model is used to efficiently segment ...
Alessandro Perina, Nebojsa Jojic, Umberto Castella...
CVPR
2006
IEEE
15 years 11 days ago
Stereo Matching with Symmetric Cost Functions
Recently, many global stereo methods have achieved good results by modeling a disparity surface as a Markov random field (MRF) and by solving an optimization problem with various ...
Kuk-Jin Yoon, In-So Kweon
ECCV
2004
Springer
15 years 7 days ago
Interpolating Novel Views from Image Sequences by Probabilistic Depth Carving
Abstract. We describe a novel approach to view interpolation from image sequences based on probabilistic depth carving. This builds a multivalued representation of depth for novel ...
Annie Yao, Andrew Calway