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» Object recognition using graph spectral invariants
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ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Object Recognition and Recovery by Skeleton Graph Matching
This paper presents a robust and efficient skeleton-based graph matching method for object recognition and recovery applications. The novel feature is to unify both object recogni...
Lei He, Chia Y. Han, William G. Wee
CVPR
2006
IEEE
14 years 11 months ago
Multiple Object Class Detection with a Generative Model
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
ESANN
2007
13 years 10 months ago
A hierarchical model for syllable recognition
Inspired by recent findings on the similarities between the primary auditory and visual cortex we propose a neural network for speech recognition based on a hierarchical feedforw...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
CVPR
2011
IEEE
13 years 5 months ago
Scale and Rotation Invariant Matching Using Linearly Augmented Trees
We propose a novel linearly augmented tree method for efficient scale and rotation invariant object matching. The proposed method enforces pairwise matching consistency defined ...
Hao Jiang, Tai-Peng Tian, Stan Sclaroff
EMMCVPR
2005
Springer
14 years 2 months ago
Retrieving Articulated 3-D Models Using Medial Surfaces and Their Graph Spectra
We consider the use of medial surfaces to represent symmetries of cts. This allows for a qualitative abstraction based on a directed acyclic graph of components and also a degree o...
Juan Zhang, Kaleem Siddiqi, Diego Macrini, Ali Sho...