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IJCV
2008
192views more  IJCV 2008»
14 years 11 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
92
Voted
ICCV
2009
IEEE
1824views Computer Vision» more  ICCV 2009»
16 years 4 months ago
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the Euclidean distance to cluster features into visual...
Jianxin Wu, James M. Rehg
122
Voted
VIS
2009
IEEE
216views Visualization» more  VIS 2009»
16 years 9 days ago
Multimodal Vessel Visualization of Mouse Aorta PET/CT Scans
In this paper, we present a visualization system for the visual analysis of PET/CT scans of aortic arches of mice. The system has been designed in close collaboration between resea...
Timo Ropinski, Sven Hermann, Rainer Reich, Mich...
78
Voted
ICPR
2000
IEEE
16 years 5 days ago
Visual Attention Control for Nuclear Power Plant Inspection
Industrial inspection robots, which are to move around a nuclear power plant and carry out inspection tasks, must follow a given route while observing static and dynamic features ...
Nobuyuki Kita
ICAT
2006
IEEE
15 years 5 months ago
An Initialization Tool for Installing Visual Markers in Wearable Augmented Reality
Abstract. It is necessary to precisely measure pose (position and orientation) of a user in order to realize an augmented reality (AR) system with a wearable computer. One of major...
Yusuke Nakazato, Masayuki Kanbara, Naokazu Yokoya