Capturing photorealistic and printable 3D models using low-cost hardware

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Abstract

Recent advances in low cost RGB-D sensors and progress in reconstruction approaches paves way for creating real-time 3D models of people. It is equally important to enhance the visual appeal of such 3D models with textures. Most of the existing approaches use per-vertex colors, such that the color resolution is limited to mesh resolution. In this paper, we propose a feasible solution for texturing 3D models of people (3D busts) using a low-cost RGB-D sensor setup that automatically constructs the 3D geometry and textures the model in just a few minutes. Experimental evaluations evaluate the performance of the approach on synthetic and real world data against the computational time and visual appeal.

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Heindl, C., Akkaladevi, S. C., & Bauer, H. (2016). Capturing photorealistic and printable 3D models using low-cost hardware. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10072 LNCS, pp. 507–518). Springer Verlag. https://doi.org/10.1007/978-3-319-50835-1_46

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