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» Unfolding warping for object recognition
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MM
2003
ACM
241views Multimedia» more  MM 2003»
13 years 11 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...
ICPR
2010
IEEE
13 years 10 months ago
Symbol Classification Using Dynamic Aligned Shape Descriptor
Shape representation is a difficult task because of several symbol distortions, such as occlusions, elastic deformations, gaps or noise. In this paper, we propose a new descriptor ...
Alicia Fornés, Sergio Escalera, Josep Llados, Ern...
CVPR
2012
IEEE
11 years 8 months ago
Pose pooling kernels for sub-category recognition
The ability to normalize pose based on super-category landmarks can significantly improve models of individual categories when training data are limited. Previous methods have co...
Ning Zhang, Ryan Farrell, Trevor Darrell
DICTA
2008
13 years 7 months ago
Exploiting Part-Based Models and Edge Boundaries for Object Detection
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
IPMI
2003
Springer
14 years 6 months ago
Object-Based Strategy for Morphometry of the Cerebral Cortex
Most of the approaches dedicated to automatic morphometry rely on a point-by-point strategy based on warping each brain towards a reference coordinate system. In this paper, we des...
Jean-Francois Mangin, Denis Rivière, Arnaud...