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Lei Wang , Stony Brook University, Stony Brook
Arie E. Kaufman , Stony Brook University, Stony Brook
We introduce a semi-automatic lighting design method that deploys per-voxel accessory lights (fill and detail lights) to enhance local shapes, as well as to increase the perceptibility and visual saliency of an object. Our approach allows the user to manually design arbitrary lights in a scene for creating the desired feeling of emotion. The user designed lights are used as key lights and our approach automatically configures per-voxel accessory lights that preserve the user designed feeling of emotion. Per-voxel fill lights brighten the shadows and thus increase the perceptibility and visual saliency. Per-voxel detail lights enhance the visual cues for the local shape perception. Moreover, the revealed local shapes are controlled by the user employing an importance distribution. Similarly, the perceptibility and visual saliency are also controlled based on the importance distribution. Our perceptual measurement guarantees that the revealed local shapes are independent of the key lights. In addition, our method provides two control parameters, which adjust the fill and detail lights, to provide the user additional flexibility in designing the expected lighting effect. The contributions of this paper are the idea of using the importance distribution to control local shapes, the per-voxel accessory lights and the perceptual measurement.
Visual, Volume visualization
Lei Wang, Arie E. Kaufman, "Importance-driven Accessory Lights Design for Enhancing Local Shapes", IEEE Transactions on Visualization & Computer Graphics, , no. 1, pp. 1, PrePrints PrePrints, doi:10.1109/TVCG.2013.257
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