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» Document Retrieval Using SIFT Image Features
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SCIA
2009
Springer
118views Image Analysis» more  SCIA 2009»
13 years 12 months ago
Grouping of Semantically Similar Image Positions
Features from the Scale Invariant Feature Transformation (SIFT) are widely used for matching between spatially or temporally displaced images. Recently a topology on the SIFT featu...
Lutz Priese, Frank Schmitt, Nils Hering
CVPR
2005
IEEE
14 years 9 months ago
Coherent Regions for Concise and Stable Image Description
We present a new method for summarizing images for the purposes of matching and registration. We take the point of view that large, coherent regions in the image provide a concise...
Jason J. Corso, Gregory D. Hager
ICMCS
2007
IEEE
223views Multimedia» more  ICMCS 2007»
14 years 1 months ago
An Effective Local Invariant Descriptor Combining Luminance and Color Information
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
Dong Zhang, Weiqiang Wang, Wen Gao, Shuqiang Jiang
ICRA
2005
IEEE
167views Robotics» more  ICRA 2005»
14 years 1 months ago
Localization for Mobile Robots using Panoramic Vision, Local Features and Particle Filter
— In this paper we present a vision-based approach to self-localization that uses a novel scheme to integrate featurebased matching of panoramic images with Monte Carlo localizat...
Henrik Andreasson, André Treptow, Tom Ducke...
IJDAR
2008
92views more  IJDAR 2008»
13 years 7 months ago
Mobile Retriever: access to digital documents from their physical source
In this paper we describe an image based document retrieval system which runs on camera enabled mobile devices. "Mobile Retriever" aims to seamlessly link physical and di...
Xu Liu, David S. Doermann