DocumentCode
1863328
Title
Human Face Location Based on Gradient Distributions
Author
Bao-jian, Zhang ; Guohong, Gao ; Jinna, Lv ; Yanli, Zhu
Author_Institution
Coll. of Inf. & Eng., Henan Inst. of Sci. & Technol., Xinxiang, China
fYear
2010
fDate
9-10 Jan. 2010
Firstpage
320
Lastpage
322
Abstract
In this paper a fast face location method based on gradient distributions is presented. This method can locate face with certain rotation, or light variation or with glasses or beard in the image. It begins with vertical location by use of vertical integral projection on the two-valued image of the original image, and then proceeds with horizontal location according to the distributions of gradient direction. Experiments have proved this method fast and efficient.
Keywords
face recognition; gradient methods; fast face location; gradient direction; gradient distribution; horizontal location; human face location; two-valued image; vertical integral projection; Data engineering; Data mining; Data preprocessing; Educational institutions; Face recognition; Glass; Gray-scale; Humans; Knowledge engineering; Optimization methods; Face location; gradient direction; margin extracting; threshold;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Conference_Location
Phuket
Print_ISBN
978-1-4244-5397-9
Electronic_ISBN
978-1-4244-5398-6
Type
conf
DOI
10.1109/WKDD.2010.130
Filename
5432608
Link To Document