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Image-based 3D photography using opacity hulls
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Source International Conference on Computer Graphics and Interactive Techniques archive
Proceedings of the 29th annual conference on Computer graphics and interactive techniques table of contents
San Antonio, Texas
SESSION: 3D acquisition and image based rendering table of contents
Pages: 427 - 437  
Year of Publication: 2002
ISBN ~ ISSN:0730-0301 , 1-58113-521-1
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Authors
Wojciech Matusik  MIT, Cambridge, MA
Hanspeter Pfister  MERL, Cambridge, MA
Addy Ngan  MIT, Cambridge, MA
Paul Beardsley  MERL, Cambridge, MA
Remo Ziegler  MERL, Cambridge, MA
Leonard McMillan  MIT, Cambridge, MA
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 13,   Downloads (12 Months): 82,   Citation Count: 48
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ABSTRACT

We have built a system for acquiring and displaying high quality graphical models of objects that are impossible to scan with traditional scanners. Our system can acquire highly specular and fuzzy materials, such as fur and feathers. The hardware set-up consists of a turntable, two plasma displays, an array of cameras, and a rotating array of directional lights. We use multi-background matting techniques to acquire alpha mattes of the object from multiple viewpoints. The alpha mattes are used to construct an opacity hull. The opacity hull is a new shape representation, defined as the visual hull of the object with view-dependent opacity. It enables visualization of complex object silhouettes and seamless blending of objects into new environments. Our system also supports relighting of objects with arbitrary appearance using surface reflectance fields, a purely image-based appearance representation. Our system is the first to acquire and render surface reflectance fields under varying illumination from arbitrary viewpoints. We have built three generations of digitizers with increasing sophistication. In this paper, we present our results from digitizing hundreds of models.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  48

Collaborative Colleagues:
Wojciech Matusik: colleagues
Hanspeter Pfister: colleagues
Addy Ngan: colleagues
Paul Beardsley: colleagues
Remo Ziegler: colleagues
Leonard McMillan: colleagues