Abstract

In this paper, we proposed a new method to detect faces in color based on the convex-hull. We detect two kinds of regions that are skin and hair likeness region. After preprocessing, we apply the convex-hull to their regions and can find a face from their intersection relationship. The proposed algorithm can accomplish face detection in an image involving rotated and turned faces as well as several faces. To validity the effectiveness of the proposed method, we make experiment with various cases

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References

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  1. H. Wu, Q. Chen and M. Yachida, �Face Detection From Color Images Using a Fuzzy Pattern Matching Method,� IEEE Trans. Pattern Anal. Mach. Intell. 21, 557-562 (1999).
    [CrossRef]
  2. S. Y. Lee, Y. K. Ham, and R.-H. Park, �Recognition of Human Front Faces Using Knowledge-Based Feature Extraction and Neuro-Fuzzy Algorithm,� Pattern Recognition 29, 1863-1876 (1996)
    [CrossRef]
  3. A. Samal and P. A.Iyengar, �Automatic recognition and analysis of human faces and facial expressions: a survey,� Pattern Recogintion 15, 65-77 (1992).
    [CrossRef]
  4. C. S. Choi, K. Aizawa, H. Harashima, T. Takebe �Analysis and synthesis of Facial Image Sequences in Model-Based Image Cording,� IEEE Trans. Circuits Syst. for Video Tech. 4, 257-275, (1994).
    [CrossRef]
  5. S. Ho, H. Huang, �Facial Modeling from an Uncalibrated Face Image Using Flexible Generic Parameterized Facial Models,� IEEE Trans. Syst. Man Cybern. 31, 706-719 (2001)
    [CrossRef]
  6. P. Juell and R. Marsh, �A Hierachical Neural Network for Human Face Detection," Pattern Recognition 29, 781-787 (1996).
  7. A. Pentland, B. Moghaddam, and T. Starner, �View-based and modular eigenspaces for face recognition,� Proceedings of IEEE Conference on Computer Vision & Pattern Recognition, Seattle,WA. IEEE Computer Society Press, 84-91.
  8. P. J. B.Hancock, A. M. Burton, V. Bruce, �Preprocessing images of faces: correlations with human perceptions of distinctiveness and familiarity,� Proceedings of IEEE Fifth International Conference on Image Processing and its Applications, Edinburgh, Scotland (1995).
  9. S. J. McKenna, S. Gong and J. J. Collins, Face tracking and pose representation, in R. B. Fisher and E. Trucco (Eds.), Proceedings of British Machine Vision Conference, 755-764 (1996)
  10. Z. Hussain, Digital Image Processing ( New York, Ellis Horwood limited, 1991)

IEEE Trans. Circuits Syst. Video Tech.

C. S. Choi, K. Aizawa, H. Harashima, T. Takebe �Analysis and synthesis of Facial Image Sequences in Model-Based Image Cording,� IEEE Trans. Circuits Syst. for Video Tech. 4, 257-275, (1994).
[CrossRef]

IEEE Trans. Pattern Anal. Mach. Intell.

H. Wu, Q. Chen and M. Yachida, �Face Detection From Color Images Using a Fuzzy Pattern Matching Method,� IEEE Trans. Pattern Anal. Mach. Intell. 21, 557-562 (1999).
[CrossRef]

IEEE Trans. Syst. Man Cybern.

S. Ho, H. Huang, �Facial Modeling from an Uncalibrated Face Image Using Flexible Generic Parameterized Facial Models,� IEEE Trans. Syst. Man Cybern. 31, 706-719 (2001)
[CrossRef]

Pattern Recogintion

A. Samal and P. A.Iyengar, �Automatic recognition and analysis of human faces and facial expressions: a survey,� Pattern Recogintion 15, 65-77 (1992).
[CrossRef]

Pattern Recognition

P. Juell and R. Marsh, �A Hierachical Neural Network for Human Face Detection," Pattern Recognition 29, 781-787 (1996).

S. Y. Lee, Y. K. Ham, and R.-H. Park, �Recognition of Human Front Faces Using Knowledge-Based Feature Extraction and Neuro-Fuzzy Algorithm,� Pattern Recognition 29, 1863-1876 (1996)
[CrossRef]

Proc. IEEE Comp. Vis. Pattern Recon.

A. Pentland, B. Moghaddam, and T. Starner, �View-based and modular eigenspaces for face recognition,� Proceedings of IEEE Conference on Computer Vision & Pattern Recognition, Seattle,WA. IEEE Computer Society Press, 84-91.

Proc. of British Machine Vision

S. J. McKenna, S. Gong and J. J. Collins, Face tracking and pose representation, in R. B. Fisher and E. Trucco (Eds.), Proceedings of British Machine Vision Conference, 755-764 (1996)

Proceedings of IEEE

P. J. B.Hancock, A. M. Burton, V. Bruce, �Preprocessing images of faces: correlations with human perceptions of distinctiveness and familiarity,� Proceedings of IEEE Fifth International Conference on Image Processing and its Applications, Edinburgh, Scotland (1995).

Other

Z. Hussain, Digital Image Processing ( New York, Ellis Horwood limited, 1991)

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Figures (5)

Fig.1
Fig.1

Skin and hair likeness regions

Fig.2
Fig.2

Face Detection

Fig.3
Fig.3

Experimentally resultant image involving several faces

Fig.4
Fig.4

Experimentally resultant image involving turned face

Fig.5
Fig.5

Experimentally resultant image involving the rotated image

Tables (2)

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Table 1. The Detection rate by two traditional methods and proposed method

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Table 2. The average detection time by two traditional methods and proposed method

Equations (1)

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I ij = F i H j Set the value of pixels in F i if n [ I ij ] > τ 0 otherwise

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