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Saliency detection with flash and no-flash image pairs

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

In this paper, we propose a new saliency detection method using a pair of flash and no-flash images. Our approach is inspired by two observations. First, only the foreground objects are significantly brightened by the flash as they are relatively nearer to the camera than the background. Second, the brightness variations introduced by the flash provide hints to surface orientation changes. Accordingly, the first observation is explored to form the background prior to eliminate background distraction. The second observation provides a new orientation cue to compute surface orientation contrast. These photometric cues from the two observations are independent of visual attributes like color, and they provide new and robust distinctiveness to support salient object detection. The second observation further leads to the introduction of new spatial priors to constrain the regions rendered salient to be compact both in the image plane and in 3D space. We have constructed a new flash/no-flash image dataset. Experiments on this dataset show that the proposed method successfully identifies salient objects from various challenging scenes that the state-of-the-art methods usually fail. © 2014 Springer International Publishing.
Original languageEnglish
Title of host publicationComputer Vision, ECCV 2014
Subtitle of host publication13th European Conference, Proceedings
PublisherSpringer Verlag
Pages110-124
Volume8691 LNCS
EditionPART 3
ISBN (Print)9783319105772
DOIs
Publication statusPublished - Sept 2014
Event13th European Conference on Computer Vision, ECCV 2014 - Zurich, Switzerland
Duration: 6 Sept 201412 Sept 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8691 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th European Conference on Computer Vision, ECCV 2014
PlaceSwitzerland
CityZurich
Period6/09/1412/09/14

Research Keywords

  • Background elimination
  • Flash photography
  • Saliency detection
  • Surface orientation

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