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» Novel image feature alphabets for object recognition
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GBRPR
2007
Springer
15 years 2 months ago
Constellations and the Unsupervised Learning of Graphs
Abstract. In this paper, we propose a novel method for the unsupervised clustering of graphs in the context of the constellation approach to object recognition. Such method is an E...
Boyan Bonev, Francisco Escolano, Miguel Angel Loza...
ICIP
2010
IEEE
14 years 8 months ago
Compact visual codebook for action recognition
Visual codebook has been popular in object classification as well as action analysis. However, its performance is often sensitive to the codebook size that is usually predefined. ...
Qingdi Wei, Xiaoqin Zhang, Yu Kong, Weiming Hu, Ha...
MICAI
2007
Springer
15 years 4 months ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia
ICPR
2006
IEEE
15 years 11 months ago
Superimposing 3D Virtual Objects using Markerless Tracking
This paper presents a novel methods to estimate the coordinates of a 3D object using the four vertices of a quadrangle and to track the markerless feature points. These methods ar...
Sang-Cheol Park, Sang-Woong Lee, Seong-Whan Lee
ICIP
2006
IEEE
15 years 11 months ago
Region-Based Statistical Background Modeling for Foreground Object Segmentation
This paper proposes a novel region-based scheme for dynamically modeling time-evolving statistics of video background, leading to an effective segmentation of foreground moving ob...
Kristof Op De Beeck, Irene Y. H. Gu, Liyuan Li, Ma...