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» A comparative study of two object recognition methods
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3DIM
2005
IEEE
15 years 3 months ago
Transform-Based Methods for Indexing and Retrieval of 3D Objects
We compare two transform-based indexing methods for retrieval of 3D objects. We apply 3D Discrete Fourier Transform (DFT) and 3D Radial Cosine Transform (RCT) to the voxelized dat...
Helin Dutagaci, Bülent Sankur, Yücel Yem...
CLOR
2006
15 years 1 months ago
Visual Classification by a Hierarchy of Extended Fragments
The chapter describes visual classification by a hierarchy of semantic fragments. In fragment-based classification, objects within a class are represented by common sub-structures ...
Shimon Ullman, Boris Epshtein
CVPR
2003
IEEE
15 years 11 months ago
Object Recognition Based on Photometric Alignment Using RANSAC
For object recognition under varying illumination conditions, we propose a method based on photometric alignment. The photometric alignment is known as a technique that models bot...
Takahiro Okabe, Yoichi Sato
ECML
2001
Springer
15 years 2 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
BMVC
2010
14 years 7 months ago
A general boosting-based framework for active object recognition
We propose a novel general framework with a boosting algorithm to achieve active object classification by view selection. The proposed framework actively decides the next best vie...
Zhaoyin Jia, Yao-Jen Chang, Tsuhan Chen