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» OmniSIFT: Scale invariant features in omnidirectional images
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ICMCS
2008
IEEE
245views Multimedia» more  ICMCS 2008»
14 years 2 months ago
A novel local feature descriptor for image matching
Image matching is a fundamental task of many problems in computer vision. This paper presents a novel local feature descriptor based on the gradient distance and orientation histo...
Heng Yang, Qing Wang
ICIP
2003
IEEE
14 years 9 months ago
Fast indexing for image retrieval based on local appearance with re-ranking
This paper describes an approach to retrieve images containing specific objects, scenes or buildings. The image content is captured by a set of local features. More precisely, we ...
Hao Shao, Tomás Svoboda, Vittorio Ferrari, ...
BCS
2008
13 years 9 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...
IVC
2007
191views more  IVC 2007»
13 years 7 months ago
Rotation-invariant and scale-invariant Gabor features for texture image retrieval
Conventional Gabor representation and its extracted features often yield a fairly poor performance in retrieving the rotated and scaled versions of the texture image under query. ...
Ju Han, Kai-Kuang Ma
ICRA
2010
IEEE
147views Robotics» more  ICRA 2010»
13 years 6 months ago
Feature detection and matching in images with radial distortion
— Image keypoints are broadly used in robotics for different purposes, ranging from recognition to 3D reconstruction, passing by SLAM and visual servoing. Robust keypoint matchin...
Miguel Lourenço, João P. Barreto, Ab...