A Scale and Rotation Invariant Interest Points Detector Based on Gabor Filters

Communications in Computer and Information Science - Signal Processing, Image Processing and Pattern Recognition ◽

10.1007/978-3-642-10546-3_12 ◽

2009 ◽

pp. 90-97 ◽

Cited By ~ 4

Author(s):

Wanying Xu ◽

Xinsheng Huang ◽

Yongbin Zheng ◽

Yuzhuang Yan ◽

Wei Zhang

Keyword(s):

Gabor Filters ◽

Interest Points ◽

Rotation Invariant

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Rotation-invariant texture classification using modified Gabor filters

Proceedings., International Conference on Image Processing ◽

10.1109/icip.1995.529696 ◽

2002 ◽

Cited By ~ 33

Author(s):

G.M. Haley ◽

B.S. Manjunath

Keyword(s):

Texture Classification ◽

Gabor Filters ◽

Rotation Invariant

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Rotation invariant texture classification using even symmetric Gabor filters

Pattern Recognition Letters ◽

10.1016/s0167-8655(03)00043-6 ◽

2003 ◽

Vol 24 (12) ◽

pp. 2061-2068 ◽

Cited By ~ 49

Author(s):

Ramchandra Manthalkar ◽

P.K Biswas ◽

B.N Chatterji

Keyword(s):

Texture Classification ◽

Gabor Filters ◽

Rotation Invariant

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Rotation invariant texture features from Gabor filters

Computer Vision — ACCV'98 - Lecture Notes in Computer Science ◽

10.1007/3-540-63931-4_198 ◽

1997 ◽

pp. 57-64 ◽

Cited By ~ 2

Author(s):

S. R. Fountain ◽

T. N. Tan

Keyword(s):

Texture Features ◽

Gabor Filters ◽

Rotation Invariant

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Rotation invariant texture classification with dominant orientation estimation based on Gabor filters

2011 IEEE International Conference on Computer Science and Automation Engineering ◽

10.1109/csae.2011.5953293 ◽

2011 ◽

Cited By ~ 1

Author(s):

Jiuwen Zhang ◽

Xiaoyun Mai ◽

Xiguang Wu

Keyword(s):

Texture Classification ◽

Gabor Filters ◽

Rotation Invariant ◽

Orientation Estimation ◽

Dominant Orientation

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Rotation invariant object recognition using Gabor filters

2010 5th International Conference on Industrial and Information Systems ◽

10.1109/iciinfs.2010.5578669 ◽

2010 ◽

Cited By ~ 1

Author(s):

Siddhaling Urolagin ◽

K. V Prema ◽

N.V. Subba Reddy

Keyword(s):

Object Recognition ◽

Gabor Filters ◽

Rotation Invariant ◽

Invariant Object Recognition

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A local space rotation invariant feature extraction method for facial interest points detection

10.1117/12.2243857 ◽

2016 ◽

Author(s):

Kuo Chen ◽

Xibin Jia ◽

Runyuan Wang

Keyword(s):

Feature Extraction ◽

Extraction Method ◽

Interest Points ◽

Rotation Invariant ◽

Feature Extraction Method ◽

Invariant Feature ◽

Space Rotation ◽

Local Space

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Performance Study of Gabor Filters and Rotation Invariant Gabor Filters

11th International Multimedia Modelling Conference ◽

10.1109/mmmc.2005.59 ◽

2005 ◽

Cited By ~ 4

Author(s):

C.B.R. Ng ◽

Guojun Lu ◽

Dengsheng Zhang

Keyword(s):

Gabor Filters ◽

Performance Study ◽

Rotation Invariant

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Rotation Invariant on Harris Interest Points for Exposing Image Region Duplication Forgery

Evolving BCI Therapy - Engaging Brain State Dynamics ◽

10.5772/intechopen.76332 ◽

2018 ◽

Author(s):

Haitham Hasan Badi ◽

Bassam Sabbri ◽

Fitian Ajeel

Keyword(s):

Interest Points ◽

Rotation Invariant ◽

Image Region ◽

Region Duplication

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Gabor filters for rotation invariant texture classification

Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97 ◽

10.1109/iscas.1997.622026 ◽

2002 ◽

Cited By ~ 6

Author(s):

R. Porter ◽

N. Canagarajah

Keyword(s):

Texture Classification ◽

Gabor Filters ◽

Rotation Invariant

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Development of Sorting System for Fishes by Feed-forward Neural Networks Using Rotation Invariant Features

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.131.404 ◽

2011 ◽

Vol 131 (2) ◽

pp. 404-410 ◽

Cited By ~ 1

Author(s):

Yuhki Shiraishi ◽

Fumiaki Takeda

Keyword(s):

Neural Networks ◽

Rotation Invariant ◽

Feed Forward ◽

Invariant Features ◽

Feed Forward Neural Networks ◽

Sorting System

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