| Projector placement planning for high quality visualizations on real-world colored objects. | |
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MedLine Citation:
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PMID: 20975206 Owner: NLM Status: PubMed-not-MEDLINE |
Abstract/OtherAbstract:
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Many visualization applications benefit from displaying content on real-world objects rather than on a traditional display (e.g., a monitor). This type of visualization display is achieved by projecting precisely controlled illumination from multiple projectors onto the real-world colored objects. For such a task, the placement of the projectors is critical in assuring that the desired visualization is possible. Using ad hoc projector placement may cause some appearances to suffer from color shifting due to insufficient projector light radiance being exposed onto the physical surface. This leads to an incorrect appearance and ultimately to a false and potentially misleading visualization. In this paper, we present a framework to discover the optimal position and orientation of the projectors for such projection-based visualization displays. An optimal projector placement should be able to achieve the desired visualization with minimal projector light radiance. When determining optimal projector placement, object visibility, surface reflectance properties, and projector-surface distance and orientation need to be considered. We first formalize a theory for appearance editing image formation and construct a constrained linear system of equations that express when a desired novel appearance or visualization is possible given a geometric and surface reflectance model of the physical surface. Then, we show how to apply this constrained system in an adaptive search to efficiently discover the optimal projector placement which achieves the desired appearance. Constraints can be imposed on the maximum radiance allowed by the projectors and the projectors' placement to support specific goals of various visualization applications. We perform several real-world and simulated appearance edits and visualizations to demonstrate the improvement obtained by our discovered projector placement over ad hoc projector placement. |
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Authors:
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Alvin J Law; Daniel G Aliaga; Aditi Majumder |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: IEEE transactions on visualization and computer graphics Volume: 16 ISSN: 1077-2626 ISO Abbreviation: IEEE Trans Vis Comput Graph Publication Date: 2010 Nov-Dec |
Date Detail:
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Created Date: 2010-10-26 Completed Date: 2010-12-14 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9891704 Medline TA: IEEE Trans Vis Comput Graph Country: United States |
Other Details:
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Languages: eng Pagination: 1633-41 Citation Subset: - |
Affiliation:
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Department of Computer Science, Purdue University, IN, USA. ajlaw@purdue.edu |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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