Publications

2006
Abstract Shade Trees
McGuire M, Stathis G, Pfister H, Krishnamurthi S. Abstract Shade Trees. 2006 p. 79-86. Paper
Analysis of Human Faces Using a Measurement-Based Skin Reflectance Model
Weyrich T, Matusik W, Pfister H, Bickel B, Donner C, Tu C, McAndless J, Lee J, Ngan A, Jensen HW, Gross M. Analysis of Human Faces Using a Measurement-Based Skin Reflectance Model. 2006 p. 1013-1024. Paper
Antialiasing for Automultiscopic 3D Displays
Zwicker M, Matusik W, Durand F, Pfister H. Antialiasing for Automultiscopic 3D Displays. 2006 p. 73-82. Paper
Applications of Small-Scale Reconfigurability to Graphics Processors
Dale K, Sheaffer JW, Kumar VV, Luebke DP, Humphreys G, Skadron K. Applications of Small-Scale Reconfigurability to Graphics Processors. 2006;:99-108. Paper
Distributed Rendering for Multiview Parallax Displays
Annen T, Matusik W, Pfister H, Seidel H, Zwicker M. Distributed Rendering for Multiview Parallax Displays. 2006 Paper
Inverse Shade Trees for Non-Parametric Material Representation and Editing
Lawrence J, Ben-Artzi A, DeCoro C, Matusik W, Pfister H, Ramamiirthi R, Ruskinkiewicz S. Inverse Shade Trees for Non-Parametric Material Representation and Editing. 2006 p. 735-745. Paper
Real-Time Triangulation Matting Using Passive Polarization
McGuire M, Matusik W. Real-Time Triangulation Matting Using Passive Polarization. 2006 Paper
A Statistical Model for Synthesis of Detailed Facial Geometry
Golovinsky A, Matusik W, Pfister H, Rusinkiewicz S, Funkhouser T. A Statistical Model for Synthesis of Detailed Facial Geometry. 2006 p. 1025-1034. Paper
2005
A Bilinear Illumination Model for Robust Face Recognition
Lee J, Moghaddam B, Pfister H, Machiraju R. A Bilinear Illumination Model for Robust Face Recognition. IEEE; 2005 p. 1177-1184. Paper
A Configurable Single-Axis, Multi-Parameter Lens Camera
McGuire M, Hughes J, Matusik W, Pfister H, Durand F, Nayar S. A Configurable Single-Axis, Multi-Parameter Lens Camera. 2005 Paper
Estimation of 3D Faces and Illumination from Single Photographs Using a Bilineaur Illumination Model
Lee J, Pfister H, Moghaddam B, and Machiraju R. Estimation of 3D Faces and Illumination from Single Photographs Using a Bilineaur Illumination Model. 2005 p. 73-82. Paper
Hardware-Accelerated 3D Visualization of Mass Spectrometry Data
Corral DJ, Pfister H. Hardware-Accelerated 3D Visualization of Mass Spectrometry Data. IEEE Visualization 2005;:439-445. Paper
Learning Silhouette Features for Control of Human Motion
Ren L, Hodgins J, Pfister H, Shakhnarovich G, Viola P. Learning Silhouette Features for Control of Human Motion. ACM Transactions on Graphics 2005;24:1303-1331. Paper
Measuring Skin Reflectance and Subsurface Scattering
Weyrich T, Matusik W, Pfister H, Ngan A, Gross M. Measuring Skin Reflectance and Subsurface Scattering. MERL Technical Report 2005; Paper
NIH-NSF Visualization Research Challenges Report
Johnson C, Moorhead R, Munzner T, Pfister H, Rheingans P, Yoo T. NIH-NSF Visualization Research Challenges Report [Internet]. IEEE Press; 2005. Publisher's Version Paper
Rendering Deformable Surface Reflectance Fields
Weyrich T, Pfister H, Gross M. Rendering Deformable Surface Reflectance Fields. IEEE Transactions on Visualization and Computer Graphics 2005;11:48-58. Paper
Defocus Video Matting
McGuire M, Matusik W, Pfister H, Hughes J, Durand F. Defocus Video Matting. SIGGRAPH 2005;24:567-576. Paper
Face Transfer with Multilinear Models
Vlasic D, Brand M, Pfister H, Popovic J. Face Transfer with Multilinear Models. SIGGRAPH 2005;24:426-433. Paper
2004
3D TV: A Scalable System for Real-Time Acquisition, Transmission and Autostereoscopic Display of Dynamic Scenes
Matusik W, Pfister H. 3D TV: A Scalable System for Real-Time Acquisition, Transmission and Autostereoscopic Display of Dynamic Scenes. SIGGRAPH 2004;23:811-821.Abstract
Three-dimensional TV is expected to be the next revolution in the history of television. We implemented a 3D TV prototype system with real-time acquisiton, transmission and 3D display of dynamic scenes. We developed a distributed, scalable architecture to manage the high computation and bandwidth demands. Our system consists of an array of cameras, clusters of network-connected PCs, and a multi-projector 3D display. Multiple video streams are individually encoded and sent over a broadband network to the display. The 3D display shows high resolution (1024 x 768) stereoscopic color images for multiple viewpoints without special glasses. We implemented systems with rear-projection and front-projection lenticular screens. In this paper, we provide a detailed overview of our 3D TV system, including an examination of design choices and tradeoffs. We present the calibration and image alignment procedures that are necessary to achieve good image quality. We present qualitative results and some early user feedback. We believe this is the first real-time end-to-end 3D TV system with enough views and resolution to provide a truly immersive 3D experience.
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Coding Approaches for End-to-End 3D TV Systems
Vetro A, Matusik W, Pfister H, and Xin J. Coding Approaches for End-to-End 3D TV Systems. 2004Abstract
We present a 3D TV prototype system with real-time acquisition, transmission and auto-stereoscopic display of dynamic scenes. Our system uses a distributed, scalable architecture to manage the high computation and bandwidth demands. It consists of an array of cameras, clusters of network-connected PCs, and a multi-projector 3D display. The 3D display shows high-resolution (1024x768) stereoscopic color images for multiple viewpoints without special glasses. We implemented systems with rear-projection and front-projection lenticular screens. In this paper, we provide an overview of our 3D TV system, including an examination of design choices and tradeoffs. We also discuss potential coding approaches for multiple view video, such as simulcasting, spatio-temporal encoding and sampling-based methods.
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