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ECCV
2010
Springer
11 years 10 months ago
Voting by Grouping Dependent Parts
Hough voting methods efficiently handle the high complexity of multiscale, category-level object detection in cluttered scenes. The primary weakness of this approach is however t...
Pradeep Yarlagadda, Antonio Monroy and Bjorn Ommer
BMCBI
2007
129views more  BMCBI 2007»
13 years 4 months ago
HoughFeature, a novel method for assessing drug effects in three-color cDNA microarray experiments
Background: Three-color microarray experiments can be performed to assess drug effects on the genomic scale. The methodology may be useful in shortening the cycle, reducing the co...
Hongya Zhao, Hong Yan
ECCV
2010
Springer
13 years 8 months ago
Hough Transform and 3D SURF for robust three dimensional classification
Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often manually generated models. However, 3D shapes obtained through acquisition tech...
BMVC
2002
13 years 6 months ago
Invariant Features from Interest Point Groups
This paper approaches the problem of finding correspondences between images in which there are large changes in viewpoint, scale and illumination. Recent work has shown that scale...
Matthew Brown, David G. Lowe
ICPR
2002
IEEE
14 years 5 months ago
Detection of Faces of Various Directions in Complex Backgrounds
This paper describes the detection of faces in complex backgrounds where their sizes, positions and directions are arbitrary. We detect the faces by extracting face components suc...
Yuichi Araki, Nobutaka Shimada, Yoshiaki Shirai