[visionlist] Call for Papers | Journal of Vision | Special Issue on Computational Models of Early Vision

Andrew Watson abwatson at me.com
Fri Oct 12 12:26:34 -05 2018

Journal of Vision                 Special Issue 

   Computational Models of Early Vision

The physics of light and the initial stages of vision limit and shape the image information available for most visual functions. Key factors include quantum fluctuations in light absorption, physiological optics, photo-transduction, eye movements, and signal processing by retinal and early cortical circuitry. It is now possible to capture our understanding of these factors in closely reasoned quantitative computational models. Moreover, the implications of early vision on performance can be clarified by calculations that link these initial visual representations to performance on well-defined tasks. Such calculations may be defined analytically (e.g., ideal observers) or implemented using machine learning techniques. This special issue will bring together recent work in this area, highlight progress, and describe applications ranging from image systems engineering to understanding disease.

Feature Editors:

	David Brainard	University of Pennsylvania

	Wilson Geisler		University of Texas at Austin

	Jenny Read		Newcastle University

	Brian Wandell		Stanford University

Submissions Accepted through September 1, 2019

Journal of Vision is an online, open access, peer-reviewed scientific journal devoted to all aspects of visual function in humans and other organisms. The journal is published exclusively in digital form: full-text articles may be accessed for free via the internet. The journal encourages the effective use of color, multimedia, hyperlinks, program code, and other digital enhancements. Journal of Vision is published by the Association for Research in Vision and Ophthalmology (ARVO). To submit a paper to this special issue please follow the Instructions for Authors at http://journalofvision.org/ <http://journalofvision.org/>. All papers will be subject to peer review.

Andrew B. Watson
Journal of Vision   http://journalofvision.org/

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