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» Object Recognition Using Segmentation for Feature Detection
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ICMLA
2007
15 years 7 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
ICIP
2000
IEEE
16 years 8 months ago
The Role of Massive Color Quantization in Object Recognition
Psychophysicalexperimentsinspire a more complete analysis of the effect of quantization on a modified version of the histogram indexing method of object recognition. We derivean e...
Signe Redfield, John G. Harris
ACCV
2007
Springer
16 years 19 days 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
MVA
1990
137views Computer Vision» more  MVA 1990»
15 years 7 months ago
Relaxation Based Modeling and Recognition of 3D Surfaces from Range Data
Modeling and recognition of 3D objects by surface is an important problem in machine vision. Given a large number of range data points of an object surface, we present a relaxatio...
Chang Y. Choo, Nasser M. Nasrabadi, William I. Kwa...
ICRA
2010
IEEE
117views Robotics» more  ICRA 2010»
15 years 5 months ago
Online intention recognition for computer-assisted teleoperation
— An online intention recognition algorithm for computer-assisted teleoperation is introduced. The algorithm is able to distinguish between phases of a typical object manipulatio...
Nikolay Stefanov, Angelika Peer, Martin Buss