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[PAST EVENT] Bo Dong, Computer Science - Ph.D. defense
July 1, 2015
8:30am - 10:30am
Abstract:
Photo-realistic image synthesis is the process of creating or rendering images that are indistinguishable from real photographs. Applications of photo-realistic image synthesis play an important role in a wide range of areas including cultural heritage preservation, entertainment, and architecture.
Accurate modeling of scene elements such as material properties and illumination is a vitally important and essential part of photo-realistic image synthesis. This thesis builds on and extends prior research in appearance modeling to enable the acquisition of more detailed appearance and allow easy editing, while maintaining the simplicity of the original method.
This thesis presents two novel contributions. First, we propose a novel photometric stereo solution to jointly estimate surface orientations and translucency from a globally planar homogeneous translucent object.
Similar to classic photometric stereo, our method only requires as few as three observations of the translucent object under directional lighting. Second, we propose a novel measurement-based approach for recoloring regions of a scene without any knowledge of geometry and lighting of the scene while maintaining physically accurate interreflections.
Bio:
Bo Dong has been working on his Ph.D. in Computer Science at the College of William & Mary since fall 2009. He is working with Dr. Pieter Peers, and his research interests include physically based computer graphics and computer vision, especially in appearance acquisition. Bo received his M.S. from Texas A&M University-Corpus Christi (TX, 2009), and his B.S. from Northeastern University (China, 2004).
Photo-realistic image synthesis is the process of creating or rendering images that are indistinguishable from real photographs. Applications of photo-realistic image synthesis play an important role in a wide range of areas including cultural heritage preservation, entertainment, and architecture.
Accurate modeling of scene elements such as material properties and illumination is a vitally important and essential part of photo-realistic image synthesis. This thesis builds on and extends prior research in appearance modeling to enable the acquisition of more detailed appearance and allow easy editing, while maintaining the simplicity of the original method.
This thesis presents two novel contributions. First, we propose a novel photometric stereo solution to jointly estimate surface orientations and translucency from a globally planar homogeneous translucent object.
Similar to classic photometric stereo, our method only requires as few as three observations of the translucent object under directional lighting. Second, we propose a novel measurement-based approach for recoloring regions of a scene without any knowledge of geometry and lighting of the scene while maintaining physically accurate interreflections.
Bio:
Bo Dong has been working on his Ph.D. in Computer Science at the College of William & Mary since fall 2009. He is working with Dr. Pieter Peers, and his research interests include physically based computer graphics and computer vision, especially in appearance acquisition. Bo received his M.S. from Texas A&M University-Corpus Christi (TX, 2009), and his B.S. from Northeastern University (China, 2004).
Contact
[[vlthompsondopp]]