In this paper, we present a system for reconstructing photorealistic 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. © Springer-Verlag 2004.
CITATION STYLE
Lee, T. Y., Lin, P. H., & Yang, T. H. (2004). Photo-realistic 3D head modeling using multi-view images. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3044, 713–720. https://doi.org/10.1007/978-3-540-24709-8_75
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