Perception & Color

Technical Papers

Perception & Color

Thursday, 13 August 10:45 AM - 12:15 PM | Los Angeles Convention Center, Room 152 Session Chair: Piotr Didyk, Universität des Saarlandes/Max-Planck-Institut für Informatik


Simulating the Visual Experience of Very Bright and Very Dark Scenes

Do simulated afterimages and mesopic rendering techniques affect the apparent dynamic range of a display? These experiments show that mesopic effects make scenes look darker, but afterimages have little impact.

David Jacobs
Google, Inc., NVIDIA Research, Stanford University

Orazio Gallo
NVIDIA Research

Emily Cooper
Stanford University

Kari Pulli
NVIDIA Research

Marc Levoy
Google, Inc., Stanford University

A Total Variation Approach for Customizing Imagery to Improve Visual Acuity

This software-only method exploits bounded total variation and limits visual ringing to improve image sharpness for individuals with refractive vision problems.

Daniel Aliaga
Purdue University

Ignacio Garcia-Dorado
Purdue University

Carlos Montalto
University of Washington

Manuel M. Oliveira
Universidade Federal do Rio Grande do Sul

Feng Meng
Purdue University

Palette-Based Photo Recoloring

An interactive tool that allows non-experts to recolor an image by editing a color palette. The system includes: a GUI that is easy to learn and understand, an efficient algorithm for creating a color palette from an image, and an efficient color-transfer algorithm.

Huiwen Chang
Princeton University

Ohad Fried
Princeton University

Yiming Liu
Princeton University

Stephen DiVerdi
Google Inc.

Adam Finkelstein
Princeton University

Data-Driven Color Manifold

A technique to extract low-dimensional color manifolds with varying density from labeled internet examples. The proposed manifolds contain colors of a specific context (skin, for example) and can be used to improve color-picking performance, color stylization, compression, or white balancing.

Chuong Nguyen
Max-Planck-Institut für Informatik

Tobias Ritschel
Max-Planck-Institut für Informatik, Universität des Saarlandes

Hans-Peter Seidel
Max-Planck-Institut für Informatik