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» Document Retrieval Using SIFT Image Features
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ICIP
2008
IEEE
16 years 4 months ago
Using point correspondences without projective deformation for multi-view stereo reconstruction
This paper proposes a novel algorithm to reconstruct a 3D surface from a calibrated set of images. In a first pass, it uses Scale Invariant Features Transform (SIFT) descriptor co...
Adrien Auclair, Nicole Vincent, Laurent D. Cohen
107
Voted
SIGIR
2006
ACM
15 years 8 months ago
A framework to predict the quality of answers with non-textual features
New types of document collections are being developed by various web services. The service providers keep track of non-textual features such as click counts. In this paper, we pre...
Jiwoon Jeon, W. Bruce Croft, Joon Ho Lee, Soyeon P...
144
Voted
CAIVD
1998
182views more  CAIVD 1998»
15 years 4 months ago
Content-Based 3D Neuroradiologic Image Retrieval: Preliminary Results
A content-based 3D neuroradiologic image retrieval system is being developed at the Robotics Institute of CMU. The special characteristics of this system include: 1 directly deali...
Yanxi Liu, William E. Rothfus, Takeo Kanade
ICDAR
1995
IEEE
15 years 6 months ago
A map acquisition, storage, indexing, and retrieval system
A system for the acquisition, storage, indexing, and retrieval of map images is presented. The input to this system are raster images of separate map layers and map composites. A ...
Hanan Samet, Aya Soffer
153
Voted
MMM
2005
Springer
202views Multimedia» more  MMM 2005»
15 years 8 months ago
Image Mining and Retrieval Using Hierarchical Support Vector Machines
For some time now, image retrieval approaches have been developed that use low-level features, such as colour histograms, edge distributions and texture measures. What has been la...
Ross Brown, Binh Pham