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» Multiple feature models for image matching
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ICCV
2011
IEEE
12 years 8 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden
ECCV
2008
Springer
13 years 10 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
ISBI
2008
IEEE
14 years 2 months ago
Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology
Automated detection and segmentation of nuclear and glandular structures is critical for classification and grading of prostate and breast cancer histopathology. In this paper, w...
Shivang Naik, Scott Doyle, Shannon Agner, Anant Ma...
ICIP
2006
IEEE
14 years 10 months ago
Generation of Long-Term Color and Motion Coherent Partitions
This paper describes a technique for generating partition sequences of regions presenting long-term homogeneity in color and motion coherency in terms of affine models. The techni...
Camilo C. Dorea, Ferran Marqués, Montse Par...
ICIP
2004
IEEE
14 years 10 months ago
A novel compressed domain shot segmentation algorithm on H.264/AVC
This paper presents a novel shot segmentation algorithm on the H.264/AVC video, which operates in the compressed domain. First, the algorithm exploits the intra prediction mode hi...
Yang Liu, Weiqiang Wang, Wen Gao, Wei Zeng