Title page for ETD etd-0427101-111305

Document Type	thesis
Author Name	Chhabra, Vikram
Email Address	vikram at cs.wpi.edu
URN	etd-0427101-111305
Title	Reconstructing specular objects with Image Based Rendering using Color Caching
Degree	MS
Department	Computer Science
Advisors	Prof. Mark R. Stevens, Advisor Prof. Michael A. Gennert, Reader Prof. Micha Hofri, Department Head
Keywords	scene reconstruction vision image based rendering graphics color consistency specular
Date of Presentation/Defense	2001-04-24
Availability	unrestricted
Abstract Various Image Based Rendering (IBR) techniques have been proposed to reconstruct scenes from its images. Voxel-based IBR algorithms reconstruct Lambertian scenes well, but fail for specular objects due to limitations of their consistency checks. We show that the conventional consistency techniques fail due to the large variation in reflected color of the surface for different viewing positions. We present a new consistency approach that can predict this variation in color and reconstruct specular objects present in the scene. We also present an evaluation of our technique by comparing it with three other consistency methods.
Files	chhabra.pdf

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