Abstract
This paper presents a method for synthesis of a novel view of a human face using a pair of images from a stereo camera set. Unlike other published methods our approach does not require an a priori knowledge (e.g. 3D head model) of the synthesized object shape. First 3D shape of a face is recovered using stereo vision technique and then an image from a novel viewpoint in synthesized. Proposed method is applicable in various image-based pattern recognition and biometric tasks as it allows to partially alleviate dependency on object orientation in space.
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Komorowski, J., Rokita, P. (2010). A Method for Novel Face View Synthesis Using Stereo Vision. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2010. Lecture Notes in Computer Science, vol 6375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15907-7_7
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DOI: https://doi.org/10.1007/978-3-642-15907-7_7
Publisher Name: Springer, Berlin, Heidelberg
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