Fusion of color and depth information for image segmentation

Jan Kristanto Wibisono, Hsueh-Ming Hang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The goal of this research is to fuse color and depth information to generate good image segmentation. The image segmentation topic has been studied for several decades. But only recently the use of depth data becomes popular due to the wide spread of affordable and accessible depth cameras such as Microsoft Kinect. The availability of depth information opens up new opportunities for image segmentation. Many methods have developed on color image segmentation over the years. Only recently, several papers are published on image segmentation using both the depth information and the color information. In this research, we focus on how to combine the depth and color information to improve the state of art color image segmentation methods. We adopt a few existing schemes and fuse their outputs to produce the final results. We exploit the planar information to improve the color segmentation. The result is quite satisfactory on both human perception and objective measures.

Original languageEnglish
Title of host publication2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789881476821
DOIs
StatePublished - 17 Jan 2017
Event2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 - Jeju, Korea, Republic of
Duration: 13 Dec 201616 Dec 2016

Publication series

Name2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016

Conference

Conference2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016
CountryKorea, Republic of
CityJeju
Period13/12/1616/12/16

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