Abstract
Image based imposters suffer from common errors called disocclusion artifacts where portions of the scene that should be occluded by real geometry are visible when using image based imposters. These artifacts are the result of parallax error created by camera motion where regions of a mesh that were not visible at the time of imposter generation have become visible. This paper presents a computationally inexpensive on-line technique to resolve these disocclusions by stretching existing imposter texture information over new geometry bridging the gap between imposters. This paper also includes an analysis of six automatic metrics for similarity between output frames of a flight path using this novel technique and the impersonated data, to quantify the quality of the technique compared to the original scene and other level-of-detail techniques.
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Mourning, C., Nykl, S., Chelberg, D. (2014). Disocclusion Mitigation for Image Based Point Cloud Imposters. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8888. Springer, Cham. https://doi.org/10.1007/978-3-319-14364-4_83
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DOI: https://doi.org/10.1007/978-3-319-14364-4_83
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