Image Processing
Monday, 31 July
8:30 - 10:15 am
Hall B2
Session Chair: Yizhou Yu, University of Illinois at Urbana-Champaign
Fast Median and Bilateral Filtering
An efficient median-filtering algorithm, up to 50 times faster than current implementations. The algorithm extends to arbitrary-depth images and enables fast, high-quality bilateral filtering.
Ben Weiss
Shell & Slate Software
Hybrid Images
A technique that creates displays in which the image interpretation changes with viewing distance.
Aude Oliva
Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences
Antonio Torralba
Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory
Philippe. G. Schyns
University of Glasgow
Image Deformation Using Moving Least Squares
A method for image deformation based on Moving Least Squares using various classes of functions including affine, similarity, and rigid transformations.
Scott Schaefer
Texas A&M University
Travis McPhail
Joe Warren
Rice University
Appearance-Space Texture Synthesis
Improving synthesis quality by transforming textures into low-dimensional appearance spaces that capture non-local feature information. This method synthesizes anisometric textures directly into surface atlas domains, and the paper demonstrates real-time texture advection.
Sylvain Lefebvre
Hugues Hoppe
Microsoft Research
8:30 - 10:15 am
Hall B2
Session Chair: Yizhou Yu, University of Illinois at Urbana-Champaign
Fast Median and Bilateral Filtering
An efficient median-filtering algorithm, up to 50 times faster than current implementations. The algorithm extends to arbitrary-depth images and enables fast, high-quality bilateral filtering.
Ben Weiss
Shell & Slate Software
Hybrid Images
A technique that creates displays in which the image interpretation changes with viewing distance.
Aude Oliva
Massachusetts Institute of Technology, Department of Brain and Cognitive Sciences
Antonio Torralba
Massachusetts Institute of Technology, Computer Science and Artificial Intelligence Laboratory
Philippe. G. Schyns
University of Glasgow
Image Deformation Using Moving Least Squares
A method for image deformation based on Moving Least Squares using various classes of functions including affine, similarity, and rigid transformations.
Scott Schaefer
Texas A&M University
Travis McPhail
Joe Warren
Rice University
Appearance-Space Texture Synthesis
Improving synthesis quality by transforming textures into low-dimensional appearance spaces that capture non-local feature information. This method synthesizes anisometric textures directly into surface atlas domains, and the paper demonstrates real-time texture advection.
Sylvain Lefebvre
Hugues Hoppe
Microsoft Research
