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BCS
2008
15 years 8 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
SCIA
2009
Springer
118views Image Analysis» more  SCIA 2009»
15 years 11 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
TIP
2010
124views more  TIP 2010»
15 years 4 months ago
Block-Based Image Compression With Parameter-Assistant Inpainting
Abstract—This correspondence presents an image compression approach that integrates our proposed parameter-assistant inpainting (PAI) to exploit visual redundancy in color images...
Zhiwei Xiong, Xiaoyan Sun, Feng Wu
IJCV
1998
238views more  IJCV 1998»
15 years 6 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
IBPRIA
2007
Springer
16 years 18 days ago
Line Extraction from Mechanically Scanned Imaging Sonar
Abstract. The extraction of reliable features is a key issue for autonomous underwater vehicle navigation. Imaging sonars can produce acoustic images of the surroundings of the veh...
David Ribas, Pere Ridao, José Neira, Juan D...