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IEICET
2010
124views more  IEICET 2010»
13 years 2 months ago
Fast Polar and Spherical Fourier Descriptors for Feature Extraction
Polar Fourier Descriptor(PFD) and Spherical Fourier Descriptor(SFD) are rotation invariant feature descriptors for two dimensional(2D) and three dimensional(3D) image retrieval an...
Zhuo Yang, Sei-ichiro Kamata
ICIP
2004
IEEE
14 years 9 months ago
Robust perceptual image hashing via matrix invariants
In this paper we suggest viewing images (as well as attacks on them) as a sequence of linear operators and propose novel hashing algorithms employing transforms that are based on ...
Mehmet Kivanç Mihçak, Ramarathnam Ve...
BMCBI
2004
162views more  BMCBI 2004»
13 years 7 months ago
Identifying spatially similar gene expression patterns in early stage fruit fly embryo images: binary feature versus invariant m
Background: Modern developmental biology relies heavily on the analysis of embryonic gene expression patterns. Investigators manually inspect hundreds or thousands of expression p...
Rajalakshmi Gurunathan, Bernard Van Emden, Sethura...
SMI
2008
IEEE
146views Image Analysis» more  SMI 2008»
14 years 2 months ago
SHREC'08 entry: Local volumetric features for 3D model retrieval
In this paper, we describe a method of shape-based 3D model retrieval that employs a set of 3D, local, multi-scale features extracted from a voxel representation of a 3D model to ...
Kunio Osada, Takahiko Furuya, Ryutarou Ohbuchi
CVPR
2012
IEEE
11 years 10 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke