Abstract
Based on the theory of visual hulls, this paper presents a method to create point based models for real objects. Instead of using the expensive special equipments such as 3D laser scanners, this method deals with some silhouette images of the objects, and generates uniformly point-sampled models. We adopt a uniform-interval index table to organize the silhouette edges of each sample image, which provides much flexibility for point sampling. Moreover, combining the surface splatting technology and Layered Depth Buffers (LDB), we introduce a new algorithm to judge the visibilities of the points. The experimental results have shown the high accuracy of the visibility judgment.
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An, W. (2012). Quickly Creating Illumination-Controllable Point-Based Models from Photographs. In: Gaol, F., Nguyen, Q. (eds) Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science. Advances in Intelligent and Soft Computing, vol 145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28308-6_40
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DOI: https://doi.org/10.1007/978-3-642-28308-6_40
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