Abstract
A method for 3D human body modeling from a set of 2D images is proposed. This method is based upon the deformation of a predefined generic polygonal human mesh towards a specific one which should be very similar with the subject when projected on the input images. Firstly the user defines several feature points on the 3D generic model. Then a rough specific model is obtained via matching the 3D feature points of the 3D model to the corresponding ones of the images and deforming the generic model. Secondly the reconstruction is improved by matching the silhouette of the deformed ”d model to those of the images. Thirdly, the result is refined by adopting three filters. Finally texture mapping and skinning are implemented.
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Wang, Z., Gagalowicz, A., Sun, M. (2009). Low-Cost Multi-image Based 3D Human Body Modeling. In: Gagalowicz, A., Philips, W. (eds) Computer Vision/Computer Graphics CollaborationTechniques. MIRAGE 2009. Lecture Notes in Computer Science, vol 5496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01811-4_24
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DOI: https://doi.org/10.1007/978-3-642-01811-4_24
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