Skip to main navigation Skip to search Skip to main content

JH2R: Joint Homography Estimation for Highlight Removal

  • University of Maryland, College Park

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

This paper addresses the problem of removing highlight regions caused by the light sources reflecting off glossy surfaces in indoor environments. We devise an efficient method to detect and remove the highlights from the target scene by jointly estimating separate homographies for the target scene and the highlights. Our method is based on the observation that when given two images captured at different viewpoints, the displacement of the target scene is different from that of the highlight regions. We show the effectiveness of our method in removing the highlight reflections by comparing it with the related state-of-the-art methods. Unlike the previous methods, our method has the ability to handle saturated and relatively large highlights which completely obscure the content underneath.

Original languageEnglish
Pages491-4912
Number of pages4422
DOIs
StatePublished - 2015
Event26th British Machine Vision Conference, BMVC 2015 - Swansea, United Kingdom
Duration: Sep 7 2015Sep 10 2015

Conference

Conference26th British Machine Vision Conference, BMVC 2015
Country/TerritoryUnited Kingdom
CitySwansea
Period09/7/1509/10/15

Fingerprint

Dive into the research topics of 'JH2R: Joint Homography Estimation for Highlight Removal'. Together they form a unique fingerprint.

Cite this