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SSIAI
2000
IEEE
15 years 1 months ago
Multi-Level Shape Recognition Based on Wavelet-Transform Modulus Maxima
In this paper we propose a new approach to shape recognition based on the wavelet transform modulus maxima. And apply it to the problem of content-based indexing and retrieval of ...
Faouzi Alaya Cheikh, Azhar Quddus, Moncef Gabbouj
JMLR
2006
104views more  JMLR 2006»
14 years 9 months ago
Learning Image Components for Object Recognition
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
Michael W. Spratling
107
Voted
AC
2000
Springer
15 years 1 months ago
Graph-Theoretical Methods in Computer Vision
The management of large databases of hierarchical (e.g., multi-scale or multilevel) image features is a common problem in object recognition. Such structures are often represented ...
Ali Shokoufandeh, Sven J. Dickinson
ECCV
2000
Springer
15 years 11 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
CVPR
2007
IEEE
15 years 11 months ago
Semantic Hierarchies for Visual Object Recognition
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...
Marcin Marszalek, Cordelia Schmid