Shadow estimation of outdoor environments via multi-cue optimization

Ting Gao, Zhihua Chen, Bin Sheng, Ping Li, Daqi Gao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Illumination condition prediction from given outdoor images is challenging but widely useful. Most of the existing methods predict the illumination based on the inserted markers or the limitation on the environment, which makes them impossible to directly predict the illumination condition from the nature images. We propose a multi-cues based illumination prediction approach that can predict the illumination condition by the input images only. Our approach combines the prediction results from the illumination-related information of input images. The illumination-related information is obtained by the proposed classification algorithm. The classification algorithm detects the geometry and shadow of the image at first, and then classifies the pixels of illumination-related cues by the requirement of the prediction algorithm. All of the illumination-related cues are used to predict the possible illumination condition by suitable algorithms, and the the markov random field is used to obtain the most likely illumination condition from all of the possible condition. Results of our approach and the comparison demonstrate the efficiency of our proposed multi-cues based illumination prediction approach.

Original languageEnglish
Title of host publication2019 7th International Conference on Information, Communication and Networks, ICICN 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages130-134
Number of pages5
ISBN (Electronic)9781728104263
DOIs
Publication statusPublished - Apr 2019
Externally publishedYes
Event7th International Conference on Information, Communication and Networks, ICICN 2019 - Macau, China
Duration: 23 Apr 201926 Apr 2019

Publication series

Name2019 7th International Conference on Information, Communication and Networks, ICICN 2019

Conference

Conference7th International Conference on Information, Communication and Networks, ICICN 2019
Country/TerritoryChina
CityMacau
Period23/04/1926/04/19

Keywords

  • Illumination prediction
  • Illumination-related cues
  • Image processing
  • Markov random field

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software
  • Signal Processing
  • Instrumentation

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