Abstract
In this paper, we present a system for reconstructing photo-realistic 3D head models from multi-view images. In the proposed system, we perform two-pass bundle adjustments to reconstruct a photo-realistic 3D head model. At the first pass it computes several feature points of a target 3D head and then use these features to modify a generic head to obtain a rough head model. Next, we perform the second pass bundle adjustment to compute a detailed 3D head model. The texture of head models is obtained from multi-views. After texturing on the reconstructed head models, several preliminary results of photo-realistic 3D head models are demonstrated to verify the proposed system.
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© 2004 Springer-Verlag Berlin Heidelberg
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Lee, TY., Lin, PH., Yang, TH. (2004). Photo-realistic 3D Head Modeling Using Multi-view Images. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24709-8_75
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DOI: https://doi.org/10.1007/978-3-540-24709-8_75
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22056-5
Online ISBN: 978-3-540-24709-8
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