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» Novel image feature alphabets for object recognition
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WACV
2008
IEEE
15 years 4 months ago
Iris Extraction Based on Intensity Gradient and Texture Difference
Biometrics has become more and more important in security applications. In comparison with many other biometric features, iris recognition has very high recognition accuracy. Succ...
Guodong Guo, Michael J. Jones
MM
1999
ACM
155views Multimedia» more  MM 1999»
15 years 2 months ago
Multi-scale sub-image search
If an image should be retrieved by its subregions from a large image database, an immense number of possible queries will appear. Therefore, the index which encodes the spatial in...
Nicu Sebe, Michael S. Lew, Dionysius P. Huijsmans
ICPR
2006
IEEE
15 years 11 months ago
A Trainable Similarity Measure for Image Classification
In object recognition problems a two-stage system is usually adopted composed of a fast and simple detector and a more complex classifier. This paper studies a design of the secon...
Jana Novovicová, Pavel Paclík, Rober...
IPM
2008
90views more  IPM 2008»
14 years 10 months ago
Local relational string and mutual matching for image retrieval
Exhibiting new features and likely related matching techniques to efficiently retrieve images from databases remains an open problem. This paper is first devoted to such a novel d...
Adel Hafiane, Bertrand Zavidovique
ITIIS
2010
343views more  ITIIS 2010»
14 years 5 months ago
Dynamic Manipulation of a Virtual Object in Marker-less AR system Based on Both Human Hands
This paper presents a novel approach to control the augmented reality (AR) objects robustly in a marker-less AR system by fingertip tracking and hand pattern recognition. It is kn...
Junchul Chun, Byungsung Lee