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» Highly Discriminative Invariant FEatures for Image Matching
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ICASSP
2007
IEEE
14 years 3 months ago
On Geometric and Photometric Registration of Images
Finding geometric and photometric relation among images is crucial in many computer vision tasks such as panoramic imaging, high dynamic range imaging, stereo imaging, and change ...
Murat Gevrekci, Bahadir K. Gunturk
CIVR
2007
Springer
177views Image Analysis» more  CIVR 2007»
14 years 3 months ago
Matching ottoman words: an image retrieval approach to historical document indexing
Large archives of Ottoman documents are challenging to many historians all over the world. However, these archives remain inaccessible since manual transcription of such a huge vo...
Esra Ataer, Pinar Duygulu
ICCV
2011
IEEE
12 years 9 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
ISBI
2009
IEEE
14 years 3 months ago
Design and Study of Flux-Based Features for 3D Vascular Tracking
In this paper, we present and study two local features for the tracking of vascular structures on 3D angiograms. The first one, Flux, measures the inward gradient flux through c...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
SMI
2006
IEEE
168views Image Analysis» more  SMI 2006»
14 years 3 months ago
Spherical Wavelet Descriptors for Content-based 3D Model Retrieval
The description of 3D shapes with features that possess descriptive power and invariant under similarity transformations is one of the most challenging issues in content based 3D ...
Hamid Laga, Hiroki Takahashi, Masayuki Nakajima