Filtering Specular Reflections by Merging Stereo Images

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Abstract

Due to the horizontal distance between the cameras taking stereo images, the position of specular reflections on objects differ in the two images of a stereo pair. In this paper we propose an algorithm to merge such stereo images in order to filter specular reflections by utilizing different types of disparity maps. Results show that merging stereo images reduces specular reflections by 75% in average.

Original languageEnglish
Title of host publicationImage Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings
EditorsIda-Maria Sintorn, Michael Felsberg, Per-Erik Forssén, Jonas Unger
PublisherSpringer Verlag
Pages164-172
Number of pages9
ISBN (Print)9783030202040
DOIs
Publication statusPublished - 2019
Event21st Scandinavian Conference on Image Analysis, SCIA 2019 - Norrköping, Sweden
Duration: 11 Jun 201913 Jun 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11482 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st Scandinavian Conference on Image Analysis, SCIA 2019
CountrySweden
CityNorrköping
Period11.06.201913.06.2019

Keywords

  • Merging images
  • Specular reflections
  • Stereo images

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