Abstract
We propose an advanced visual hull technique to compensate for outliers using the reliabilities of silhouettes. The proposed method consists of a foreground extraction technique with multiple thresholds based on the Generalized Gaussian Family model and a compensated visual hull algorithm. We proved that the proposed technique constructs a compact visual hull even in the presence of segmentation errors and occlusions. The 3D reconstruction and rendering processes are implemented on a graphics processing unit to greatly accelerate computation time.
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Kim, H., Sakamoto, R., Kitahara, I., Toriyama, T., Kogure, K. (2008). Compensated Visual Hull with GPU-Based Optimization. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_59
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DOI: https://doi.org/10.1007/978-3-540-89796-5_59
Publisher Name: Springer, Berlin, Heidelberg
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