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Histogram of Oriented Gradient Based Gist Feature for Building Recognition
Joint Authors
Yu, Zhezhou
Cheng, Kaili
Li, Bin
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
We proposed a new method of gist feature extraction for building recognition and named the feature extracted by this method as the histogram of oriented gradient based gist (HOG-gist).
The proposed method individually computes the normalized histograms of multiorientation gradients for the same image with four different scales.
The traditional approach uses the Gabor filters with four angles and four different scales to extract orientation gist feature vectors from an image.
Our method, in contrast, uses the normalized histogram of oriented gradient as orientation gist feature vectors of the same image.
These HOG-based orientation gist vectors, combined with intensity and color gist feature vectors, are the proposed HOG-gist vectors.
In general, the HOG-gist contains four multiorientation histograms (four orientation gist feature vectors), and its texture description ability is stronger than that of the traditional gist using Gabor filters with four angles.
Experimental results using Sheffield Buildings Database verify the feasibility and effectiveness of the proposed HOG-gist.
American Psychological Association (APA)
Li, Bin& Cheng, Kaili& Yu, Zhezhou. 2016. Histogram of Oriented Gradient Based Gist Feature for Building Recognition. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099739
Modern Language Association (MLA)
Li, Bin…[et al.]. Histogram of Oriented Gradient Based Gist Feature for Building Recognition. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1099739
American Medical Association (AMA)
Li, Bin& Cheng, Kaili& Yu, Zhezhou. Histogram of Oriented Gradient Based Gist Feature for Building Recognition. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099739
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099739