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» Retrieving Objects Using Local Integral Invariants
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MM
2003
ACM
241views Multimedia» more  MM 2003»
14 years 2 months ago
Invariance in motion analysis of videos
In this paper, we propose an approach that retrieves motion of objects from the videos based on the dynamic time warping of view invariant characteristics. The motion is represent...
Cen Rao, Mubarak Shah, Tanveer Fathima Syeda-Mahmo...
CBMS
2009
IEEE
14 years 4 months ago
Comparative study of spine vertebra shape retrieval using learning-based feature selection
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
JMIV
2007
115views more  JMIV 2007»
13 years 9 months ago
Combining Points and Tangents into Parabolic Polygons
Image and geometry processing applications estimate the local geometry of objects using information localized at points. They usually consider information about the tangents as a s...
Marcos Craizer, Thomas Lewiner, Jean-Marie Morvan
ICPR
2010
IEEE
13 years 9 months ago
A Discrete Labelling Approach to Attributed Graph Matching Using SIFT Features
Local invariant feature extraction methods are widely used for image-features matching. There exist a number of approaches aimed at the refinement of the matches between image-fe...
Gerard Sanromà, René Alquézar...
TIP
2008
287views more  TIP 2008»
13 years 9 months ago
3-D Object Recognition Using 2-D Views
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Wenjing Li, George Bebis, Nikolaos G. Bourbakis