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GLOH
GLOH (Gradient Location and Orientation Histogram) is a robust image descriptor that can be used in computer vision tasks. It is a SIFT-like…
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Related topics
Related topics
4 relations
Computer vision
Scale-invariant feature transform
Speeded up robust features
Broader (1)
Feature detection (computer vision)
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
2DIGH: a polar invariant local image descriptor based on joint histogram
Bahman Sadeghi
,
K. Jamshidi
,
A. Vafaei
,
S. A. Monadjemi
The Visual Computer
2017
Corpus ID: 253894838
One of the key challenges of current image matching techniques is how to build a robust local descriptor which is invariant to…
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2017
2017
Description of interest regions based on combined local binary patterns
Yi Yang
,
F. Duan
,
Guangyue Niu
,
Hao Zheng
IEEE International Conference on Communication…
2017
Corpus ID: 10563655
This paper proposes a novel inherently rotation invariant local descriptor which combined intensity information and gradient…
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2017
2017
SYSTEMAND METHOD FOR MIDDLE CAND LOWER STRING TONE ENHANCEMENT FOR AN ACOUSTICAL PANO
2017
Corpus ID: 106398941
(54) SYSTEMAND METHOD FOR MIDDLE C Publication Classification AND LOWER STRING TONE ENHANCEMENT FOR AN ACOUSTICAL (51) Int. Cl…
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2016
2016
A Multi Support Rotationally Invariant Descriptors Based on Gradient Histogram
Ashutosh Kushwaha
,
Vaibhav Purwar
2016
Corpus ID: 212468989
— Local image is crucial in many computer vision tasks description. A good local image descriptor is expected to have high…
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2016
2016
A Comparative Study of Local Image Feature Description
Lifen Zhou
,
Ya-bin Tao
2016
Corpus ID: 56107735
In view of the local image feature description algorithm of recent year, we compare them with SIFT, which is a classic algorithm…
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2014
2014
Multi-Level Image Annotation Using Bayes Classifier and Fuzzy Knowledge Representation Scheme
Marina Ivasic-Kos
,
I. Ipšić
,
S. Ribaric
2014
Corpus ID: 17954793
Automatic image annotation (AIA) is the process by which metadata, in form of keywords or text descriptions are automatically…
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2012
2012
Complementarity Analysis of Affine Region Detectors
Ya-Dong Sun
,
Jie Yang
,
Mei-Jun Wu
,
C. Wang
Fourth International Symposium on Information…
2012
Corpus ID: 15571551
Complementarity benefiting from combination of affine region detectors for image matching is examined closely. Possible…
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2012
2012
A fast color feature for real-time image retrieval
Chong Huang
,
Yuan Dong
,
+4 authors
Jian Zhao
IEEE International Conference on Network…
2012
Corpus ID: 5658894
In this paper, a fast color feature is presented for real-time image retrieval. The feature is based on Dense SIFT (DSIFT) in the…
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2011
2011
Análise dos descritores locais de imagens no contexto de detecção de semi-réplicas
L. Bueno
,
R. D. Torres
2011
Corpus ID: 194427442
Descritores locais de imagens sao amplamente utilizados em diversas aplicacoes de reconhecimento de objetos ou de cenas. Muitos…
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2008
2008
Salient region detection and feature extraction in 3D visual data
Ming Dong
,
Yanhua Chen
15th IEEE International Conference on Image…
2008
Corpus ID: 18747971
Saliency detection and local feature extraction for 2D images have received extensive attention recently. In this paper, we…
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