Foreground Detection and Segmentation in RGB-D Images

Runmin CONG, Hao CHEN, Hongyuan ZHU, Huazhu FU*

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsBook ChapterResearchpeer-review

1 Citation (Scopus)

Abstract

Depth information available in RGB-D images facilitate many computer vision tasks. As a newly emerging and significant topic in the computer vision community, foreground detection and segmentation for RGB-D images have gained a lot of research interest in the past years. In this chapter, an overview of some foreground-based tasks in RGB-D images is provided, including saliency detection, co-saliency detection, foreground segmentation, and co-segmentation. We aim at providing comprehensive literature of the introduction, summaries, and challenges in these areas. We expect this review to be beneficial to the researchers in this field and hopefully, encourage more future works in this direction.

Original languageEnglish
Title of host publicationRGB-D Image Analysis and Processing
EditorsPaul L. ROSIN, Yu-Kun LAI, Ling SHAO, Yonghuai LIU
PublisherSpringer London
Chapter10
Pages221-241
Number of pages21
ISBN (Electronic)9783030286033
ISBN (Print)9783030286026
DOIs
Publication statusPublished - 2019
Externally publishedYes

Publication series

NameAdvances in Computer Vision and Pattern Recognition
PublisherSpringer
ISSN (Print)2191-6586
ISSN (Electronic)2191-6594

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

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