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SCIA
2009
Springer
118views Image Analysis» more  SCIA 2009»
15 years 5 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
ICIP
2008
IEEE
16 years 3 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
ICIAR
2010
Springer
15 years 6 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
JCIT
2010
112views more  JCIT 2010»
14 years 8 months ago
A Preprocessing Method for NaXi Pictograph Character Recognition
Preprocessing, a major component of Character Recognition System, has direct effect on the recognition system by its performance. A preprocessing method for NaXi Pictograph Charac...
Hai Guo, Jing-ying Zhao, Ming-jun Da
134
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ECCV
2008
Springer
16 years 3 months ago
Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images
Abstract. Despite the ubiquitous use of range images in various computer vision applications, little has been investigated about the size variation of the local geometric structure...
John Novatnack, Ko Nishino