October 2003
Volume 3, Issue 9
Vision Sciences Society Annual Meeting Abstract  |   October 2003
Face Detection using Half-Face Templates
Author Affiliations
  • Yi Zhu
    Computer Science Department, Indiana University, Bloomington, IN
Journal of Vision October 2003, Vol.3, 839. doi:https://doi.org/10.1167/3.9.839
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      Yi Zhu, Florin Cutu; Face Detection using Half-Face Templates. Journal of Vision 2003;3(9):839. https://doi.org/10.1167/3.9.839.

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      © ARVO (1962-2015); The Authors (2016-present)

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Face detection is the first important step in many face image processing applications. Although a lot of work has been done on detecting frontal faces much less effort has been put into detecting faces with large image-plane or depth rotations. Most templates used in face detection are whole-face templates. However, such templates are ineffective for faces significantly rotated in depth. We propose to use half-face templates to detect faces with large depth rotations. Our experimental results show that half-face templates significantly outperform whole-face templates in detecting faces having large out-plane rotations and performs as well as whole-face templates in detecting frontal faces.

Zhu, Y., Cutu, F.(2003). Face Detection using Half-Face Templates [Abstract]. Journal of Vision, 3( 9): 839, 839a, http://journalofvision.org/3/9/839/, doi:10.1167/3.9.839. [CrossRef]

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