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MIA
2010
170views more  MIA 2010»
13 years 3 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
ISMAR
2009
IEEE
14 years 3 months ago
A setup for evaluating detectors and descriptors for visual tracking
In many cases, visual tracking is based on detecting, describing, and then matching local features. A variety of algorithms for these steps have been proposed and used in tracking...
Steffen Gauglitz, Tobias Höllerer, Petra Krah...
DOCENG
2009
ACM
13 years 6 months ago
Geometric consistency checking for local-descriptor based document retrieval
In this paper, we evaluate different geometric consistency schemes, which can be used in tandem with an efficient architecture, based on voting and local descriptors, to retrieve ...
Eduardo Valle, David Picard, Matthieu Cord
TMM
2002
140views more  TMM 2002»
13 years 8 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
IPMI
2011
Springer
13 years 10 days ago
Surface-Region Context in Optimal Multi-object Graph-Based Segmentation: Robust Delineation of Pulmonary Tumors
Abstract. Multi-object segmentation with mutual interaction is a challenging task in medical image analysis. We report a novel solution to a segmentation problem, in which target o...
Qi Song, Mingqing Chen, Junjie Bai, Milan Sonka, X...