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» A comparative study of two object recognition methods
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CLASSIFICATION
2010
15 years 1 months ago
Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads
: The issue of determining "the right number of clusters" in K-Means has attracted considerable interest, especially in the recent years. Cluster intermix appears to be a...
Mark Ming-Tso Chiang, Boris Mirkin
ACCV
1998
Springer
15 years 8 months ago
Shape Modeling from Multiple View Images Using GAs
Shape modeling is a very important issue for many study, for example, object recognition for robot vision, virtual environment construction, and so on. In this paper, a new method...
Satoshi Kirihara, Hideo Saito
ICONIP
2008
15 years 5 months ago
A Hybrid Fuzzy Approach for Human Eye Gaze Pattern Recognition
Abstract. Face perception and text reading are two of the most developed visual perceptual skills in humans. Understanding which features in the respective visual patterns make the...
Dingyun Zhu, B. Sumudu U. Mendis, Tom Gedeon, Aksh...
ICPR
2008
IEEE
16 years 5 months ago
Joint visual vocabulary for animal classification
This paper presents a method for visual object categorization based on encoding the joint textural information in objects and the surrounding background, and requiring no segmenta...
Alireza Tavakoli Targhi, Andrzej Pronobis, Heydar ...
ICMCS
2007
IEEE
208views Multimedia» more  ICMCS 2007»
15 years 7 months ago
A Cognitive and Unsupervised Map Adaptation Approach to the Recognition of the Focus of Attention from Head Pose
In this paper, the recognition of the visual focus of attention (VFOA) of meeting participants (as defined by their eye gaze direction) from their head pose is addressed. To this ...
Jean-Marc Odobez, Sileye O. Ba