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ACCV
2007
Springer
16 years 1 months ago
The Kernel Orthogonal Mutual Subspace Method and Its Application to 3D Object Recognition
This paper proposes the kernel orthogonal mutual subspace method (KOMSM) for 3D object recognition. KOMSM is a kernel-based method for classifying sets of patterns such as video fr...
Kazuhiro Fukui, Osamu Yamaguchi
PRL
2007
128views more  PRL 2007»
15 years 6 months ago
Automatic recognition of biological particles in microscopic images
A simple and general-purpose system to recognize biological particles is presented. It is composed of four stages. First (if necessary) promising locations in the image are detect...
Marc'Aurelio Ranzato, P. E. Taylor, J. M. House, R...
BMVC
2010
15 years 4 months ago
Improving object classification using semantic attributes
This paper shows how semantic attribute features can be used to improve object classification performance. The semantic attributes used fall into five groups: scene (e.g. `road�...
Yu Su, Moray Allan, Frédéric Jurie
ICCV
2011
IEEE
14 years 6 months ago
iGroup : Weakly supervised image and video grouping
We present a generic, efficient and iterative algorithm for interactively clustering classes of images and videos. The approach moves away from the use of large hand labelled tra...
Andrew Gilbert, Richard Bowden
CGF
2010
128views more  CGF 2010»
15 years 7 months ago
Isosurface Similarity Maps
In this paper, we introduce the concept of isosurface similarity maps for the visualization of volume data. Isosurface similarity maps present structural information of a volume d...
Stefan Bruckner, Torsten Möller