Technical Papers
Changing Your Perception
Thursday, 14 August 10:45 AM - 12:15 PM | Vancouver Convention Centre, East Building, Ballroom A Session Chair: Yaser Sheikh, Carnegie Mellon University
Thursday, 14 August 10:45 AM - 12:15 PM | Vancouver Convention Centre, East Building, Ballroom A Session Chair: Yaser Sheikh, Carnegie Mellon University
This paper describes a series of eye-tracking experiments to derive and evaluate a model describing adaptation of vergence to changes of disparity on a stereoscopic display. Estimated average observer parameters of the model were derived from the gathered data. This enables a range of strategies for minimizing the adaptation times.
Krzysztof Templin
CSAIL MIT, MPI Informatik
Piotr Didyk
CSAIL MIT
Karol Myszkowski
MPI Informatik
Mohamed M. Hefeeda
Qatar Computing Research Institute
Hans-Peter Seidel
MPI Informatik
Wojciech Matusik
MIT CSAIL
Investigating different interfaces to find the most convenient one for light field editing, based on the two main approaches used in existing literature. The approach includes two different experiments with these interfaces, where users are asked to perform several edits, on both synthetic and real light fields.
Adrian Jarabo
Universidad de Zaragoza
Belen Masia
Universidad de Zaragoza
Adrien Bousseau
REVES/INRIA Sophia-Antipolis
Fabio Pellacini
Sapienza - Università di Roma
Diego Gutierrez
Universidad de Zaragoza
This method retargets images from one luminance level to another while compensating for the differences in contrast and color perception. The method can compensate images on a dim display to appear as on a bright display, or simulate night vision for scene-refereed HDR images.
Robert Wanat
Bangor University
Rafal Mantiuk
Bangor University
This style-transfer method tailored for headshot portraits is local and multi-scale. The method is validated on a dataset containing 94 images from a web site.
YiChang Shih
CSAIL MIT
Sylvain Paris
Adobe Research
Connelly Barnes
University of Virginia
William Freeman
CSAIL MIT
Frédo Durand
CSAIL MIT
This study of temporal variations in outdoor scene appearance annotates thousands of images from webcams and learns how to recognize high-level properties such as season or weather in new photographs. The paper shows how the method can be used for browsing photo collections and proposes a method for high-level image editing of outdoor scenes.
Pierre-Yves Laffont
Brown University
Zhile Ren
Brown University
Xiaofeng Tao
Brown University
Chao Qian
Brown University
James Hays
Brown University