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» Human Activity Recognition Using Local Shape Descriptors
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AAAI
1990
13 years 8 months ago
Generalized Shape Autocorrelation
This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
Andrea Califano, Rakesh Mohan
ACII
2005
Springer
13 years 9 months ago
The Bunch-Active Shape Model
Active Shape Model (ASM) is one of the most powerful statistical tools for face image alignment. In this paper, we propose a novel method, called Bunch-Active Shape Model (Bunch-AS...
Jingcai Fan, Hongxun Yao, Wen Gao, Yazhou Liu, Xin...
ICPR
2006
IEEE
14 years 8 months ago
Active Feature Models
In this paper active feature models are proposed. They utilize local texture features and a statistical shape model for the reliable localization of landmarks in images. They are ...
Georg Langs, Philipp Peloschek, Rene Donner, Micha...
ECCV
1998
Springer
14 years 9 months ago
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
Many object classes, including human faces, can be modeled as a set of characteristic parts arranged in a variable spatial con guration. We introduce a simpli ed model of a deforma...
Michael C. Burl, Markus Weber, Pietro Perona
CVPR
2004
IEEE
14 years 9 months ago
Extraction and Recognition of Periodically Deforming Objects by Continuous, Spatio-Temporal Shape Description
We demonstrate a novel approach to modelling arbitrary temporally-deforming objects using spatio-temporal Fourier descriptors. This is a continuous boundary descriptor, which can ...
Stuart D. Mowbray, Mark S. Nixon