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. © 2008 Springer.
CITATION STYLE
Kim, H., Sakamoto, R., Kitahara, I., Toriyama, T., & Kogure, K. (2008). Compensated visual hull with GPU-based optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5353 LNCS, pp. 573–582). https://doi.org/10.1007/978-3-540-89796-5_59
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