Foreground Detection and Segmentation in RGB-D Images

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)12_Chapter in an edited book (Author)peer-review

1 Scopus Citations
View graph of relations

Author(s)

  • Runmin Cong
  • Hao Chen
  • Hongyuan Zhu
  • Huazhu Fu

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationRGB-D Image Analysis and Processing
EditorsPaul L. Rosin, Yu-Kun Lai, Ling Shao, Yonghuai Liu
Place of PublicationSwitzerland
PublisherSpringer Nature Switzerland AG
Pages221-241
ISBN (Electronic)9783030286033
ISBN (Print)9783030286026
Publication statusPublished - 2019

Publication series

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

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.

Citation Format(s)

Foreground Detection and Segmentation in RGB-D Images. / Cong, Runmin; Chen, Hao; Zhu, Hongyuan; Fu, Huazhu.

RGB-D Image Analysis and Processing. ed. / Paul L. Rosin; Yu-Kun Lai; Ling Shao; Yonghuai Liu. Switzerland : Springer Nature Switzerland AG, 2019. p. 221-241 (Advances in Computer Vision and Pattern Recognition).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)12_Chapter in an edited book (Author)peer-review