Colour matching between stereo pairs of images

Stephen Willey, Philip Willis, Jeff Clifford, Ted Waine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper outlines the process of colour matching stereo pairs of images using a disparity map as input along with the original images. We describe the functionality of a plugin developed for Nuke, which we call EyeMatch, that performs this automatic colour matching under conditions set by the user. The user is presented with various parameters to fine tune the matching process, but no prior knowledge of any of the underlying techniques is necessary. Results are produced quickly, allowing a trial-and-error based approach to fine tuning these parameters, and results are sufficiently accurate to be used in the postproduction pipeline.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2014 Workshops
Subtitle of host publicationPart II
EditorsC. V. Jawahar, S. Shan
Place of PublicationLondon, U. K.
PublisherSpringer
Pages289-298
Number of pages10
ISBN (Print)9783319166308
DOIs
Publication statusPublished - 2015
Event12th Asian Conference on Computer Vision, ACCV 2014 - Singapore, Singapore
Duration: 1 Nov 20142 Nov 2014

Publication series

NameLecture Notes in Computer Science
Volume9009

Conference

Conference12th Asian Conference on Computer Vision, ACCV 2014
CountrySingapore
CitySingapore
Period1/11/142/11/14

Fingerprint Dive into the research topics of 'Colour matching between stereo pairs of images'. Together they form a unique fingerprint.

Cite this