The visible differences predictor: an algorithm for the assessment of image fidelity
Digital images and human vision
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
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Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Unstructured lumigraph rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
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ACM Transactions on Graphics (TOG)
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ACM Transactions on Graphics (TOG)
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I3D '03 Proceedings of the 2003 symposium on Interactive 3D graphics
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ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
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VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
Plenoptic Modeling and Rendering from Image Sequences Taken by Hand-Held Camera
Mustererkennung 1999, 21. DAGM-Symposium
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SIGGRAPH '04 ACM SIGGRAPH 2004 Sketches
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IEEE Transactions on Circuits and Systems for Video Technology
Online construction of surface light fields
EGSR'05 Proceedings of the Sixteenth Eurographics conference on Rendering Techniques
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EGWR'99 Proceedings of the 10th Eurographics conference on Rendering
Perceptually-motivated graphics, visualization and 3D displays
ACM SIGGRAPH 2010 Courses
Perception in graphics, visualization, virtual environments and animation
SIGGRAPH Asia 2011 Courses
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We present a novel perceptual method to reduce the visual redundancy of unstructured lumigraphs, an image based representation designed for interactive rendering. We combine features of the unstructured lumigraph algorithm and image fidelity metrics to efficiently rank the perceptual impact of the removal of sub-regions of input views (sub-views). We use a greedy approach to estimate the order in which sub-views should be pruned to minimize perceptual degradation at each step. Renderings using varying numbers of sub-views can then be easily visualized with confidence that the retained sub-views are well chosen, thus facilitating the choice of how many to retain. The regions of the input views that are left are repacked into a texture atlas. Our method takes advantage of any scene geometry information available but only requires a very coarse approximation. We perform a user study to validate its behaviour, as well as investigate the impact of the choice of image fidelity metric. The three metrics considered fall in the physical, statistical and perceptual categories. The overall benefit of our method is the semi-automation of the view selection process, resulting in unstructured lumigraphs that are thriftier in texture memory use and faster to render. (Note to reviewers: a video is available at http://isg.cs.tcd.ie/ymorvan/paper37.avi. The figure occupying the ninth page is intended to appear on a color plate.)