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
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.
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