DocumentCode
2429281
Title
Automatic recognition of exception points using polynomial expression
Author
Hoshino, Takayuki ; Fujiwara, Takayuki ; Koshimizu, Hiroyasu ; Hatano, Yasuyo
Author_Institution
Chukyo Univ., Toyota
fYear
2007
fDate
17-20 Oct. 2007
Firstpage
1342
Lastpage
1347
Abstract
We have not yet completed the automatic recognition of facial parts by image processing. Even if once we get the edge image for the contour of facial parts, due to the existence of the noise, the results are quite frequently not sufficient both in local and global aspects. This is caused mainly by the lack the top-down mechanism for compensating the insufficient Bottom-Up mechanism of image processing. Then, in this paper, a curve fitting mechanism in the image processing is introduced as a top-down processing for enforcing the total performance of contour extraction of the facial parts. An experiment for extracting the contour line extraction of the jaw was done and some preliminary experimental results were presented in this paper, because jaw contour was especially hard to detect at the field test of EXPO2005 Exhibition. Furthermore the possibility of the new deformation basis for the facial caricature is prospected so that the parameter space of the analytical curve could be introduced.
Keywords
curve fitting; edge detection; face recognition; feature extraction; polynomials; automatic exception point recognition; curve fitting mechanism; edge image; facial part contour extraction; image processing; jaw contour; polynomial expression; top-down processing; Automatic control; Automation; Control systems; Curve fitting; Face recognition; Image processing; Image recognition; Polynomials; Skin; Testing; Extracting jaw contour; Facial caricature; Liner least square method; Top-down processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems, 2007. ICCAS '07. International Conference on
Conference_Location
Seoul
Print_ISBN
978-89-950038-6-2
Electronic_ISBN
978-89-950038-6-2
Type
conf
DOI
10.1109/ICCAS.2007.4406546
Filename
4406546
Link To Document