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Modeling 3D synthetic view dissimilarity

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Abstract

We model the dissimilarity among 3D synthetic views and measure the novelty of a view by its dissimilarity to other view(s). Two views are dissimilar if they have different viewing content or viewing orientations. The model evaluates the perceptual cost of mentally reconstructing one view from other view(s). Higher perceptual cost means more dissimilarity. Perceptual cost is related to reaction time of rotation and completion of human mental images. Visual comparisons among dissimilarity measures suggest that our model can better determine how dissimilar one view is to other view(s).

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Notes

  1. http://graphics.stanford.edu/data/3Dscanrep/.

  2. http://graphics.cs.williams.edu/data.

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Acknowledgments

We thank the Stanford Computer Graphics Laboratory for making available the meshes: Asian Dragon, Thai Statue, Lucy. Both the Crytek Sponza and San Miguel scenes were downloaded from the Morgan McGuire’s Computer Graphics Archive. The Crytek Sponza scene was modeled by Frank Meinl at Crytek with inspiration from Marko Dabrovic’s original and the San Miguel scene was modeled by Guillermo M. Leal Llaguno of Evolución Visual.

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  1. Department of Computer Science, National University of Singapore, Singapore, Singapore

    Shanghong Zhao & Wei Tsang Ooi

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  1. Shanghong Zhao
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  2. Wei Tsang Ooi
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Correspondence to Shanghong Zhao.

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Zhao, S., Ooi, W.T. Modeling 3D synthetic view dissimilarity. Vis Comput 32, 429–443 (2016). https://doi.org/10.1007/s00371-015-1069-z

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