Thursday, 11 August 2:00 pm - 3:30 pm | East Building, Ballroom C
Session Chair: Ariel Shamir, Interdisciplinary Center (IDC) Herzliya
Interactive Editing of Massive Imagery Made Simple: Turning Atlanta Into Atlantis
This simple framework for progressive processing of high-resolution images with minimal resources implements an adaptive, multi-resolution solver for gradient-based image processing that is capable of real-time seamless cloning for images that are hundreds of gigapixels in size.
Brian Summa
University of Utah
Giorgio Scorzelli
University of Utah
Ming Jiang
Lawrence Livermore National Laboratory
Peer-Timo Bremer
University of Utah and Lawrence Livermore National Laboratory
Valerio Pascucci
University of Utah
Geodesic Image and Video Editing
A new, unified technique to perform general edge-sensitive editing operations on n-dimensional images and videos efficiently. Introduction of a generalized geodesic distance transform provides the unifying framework to efficiently address several editing operations such as de-noising, segmentation, and non-photorealistic rendering.
Antonio Criminisi
Microsoft Research Cambridge
Toby Sharp
Microsoft Research Cambridge
Carsten Rother
Microsoft Research Cambridge
Patrick Perez
Technicolor Paris Research Center
Andrew Fitzgibbon
Microsoft Research Cambridge
Matting and Compositing of Transparent and Refractive Objects
This image-based model for matting and compositing transparent and refractive objects from single images encodes plausible refractive properties of a transparent object and its observed specularities and transmissive properties. The method simulates compound compositing, Fresnel effect, scene depth, and caustic shadows from the extracted model.
Sai-Kit Yeung
University of California, Los Angeles and Hong Kong University of Science and Technology
Chi-Keung Tang
Hong Kong University of Science and Technology
Michael Brown
National University of Singapore
Sing Bing Kang
Microsoft Research
Nonlinear Revision Control for Images
A nonlinear revision-control system for images that supports review, diff, addition, branching, merging, and conflict resolving, and facilitates artistic creation in common image editing and digital sketching tasks. The core idea is a DAG structure that represents the spatial, temporal, and semantic relationships between operations.
Hsiang-Ting Chen