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Easy and Convincing Ear Modeling for Virtual Human

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Advances in Multimedia Information Processing - PCM 2004 (PCM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3331))

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Abstract

In this paper, we describe the human ear creation in a system for 3-D photorealistic face modeling from frontal and profile images taken by an un-calibrated handheld digital camera. The ear part is segmented in profile facial image with a boundary detection algorithm, and then mapped to the created face model. Our ear modeling procedure has several advantages. (1) A highly automatic detection algorithm is proposed to locate profile ear boundary accurately and robustly despite of a variety of illumination, hair shape, gender and race. (2) Deliberately designed shape deformation algorithm is proposed to stitch the ear and head smoothly. (3) Synthesized texture is utilized and merged with input images to compensate occluded ear-nearby areas and create realistic results. Experimental results show that the created ear is smooth and convincing, improving the face appearance dramatically.

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Author information

Authors and Affiliations

  1. Computing Laboratory, Samsung Advanced Institute of Technology, Yongin, 449-712, Korea

    Hui Zhang

  2. School of Information and Communication Engineering, INHA University, Incheon, 402-751, Korea

    In Kyu Park

Authors
  1. Hui Zhang
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  2. In Kyu Park
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Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8656, Tokyo, Japan

    Kiyoharu Aizawa

  2. IBM Research, Tokyo Research Laboratory, 1623-14 Shimo-tsuruma, Yamato, 242-0001, Kanagawa, Japan

    Yuichi Nakamura

  3. National Institute of Informatics, Tokyo, Japan

    Shin’ichi Satoh

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© 2004 Springer-Verlag Berlin Heidelberg

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Zhang, H., Park, I.K. (2004). Easy and Convincing Ear Modeling for Virtual Human. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30541-5_49

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  • DOI: https://doi.org/10.1007/978-3-540-30541-5_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23974-1

  • Online ISBN: 978-3-540-30541-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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