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Plane labeling trinocular stereo matching with baseline recovery

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http://ieeexplore.ieee.org/document/7986762/
Original languageEnglish
Title of host publication2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages17-20
Number of pages4
ISBN (Electronic)978-4-9011-2216-0
DOIs
Publication statusPublished - 20 Jul 2017
Event2017 Fifteenth IAPR International Conference on Machine Vision Applications - Nagoya, Japan
Duration: 8 May 201712 May 2017
http://www.mva-org.jp/mva2017/

Conference

Conference2017 Fifteenth IAPR International Conference on Machine Vision Applications
Abbreviated titleIAPR MVA 2017
CountryJapan
CityNagoya
Period8/05/1712/05/17
Internet address

Abstract

In this paper we present an algorithm which recovers the rigid transformation that describes the displacement of a binocular stereo rig in a scene, and uses
this to include a third image to perform dense trinocular stereo matching and reduce some of the ambiguities inherent to binocular stereo. The core idea of the proposed algorithm is the assumption that the binocular baseline is projected to the third view, and thus can be used to constrain the transformation estimation of the stereo rig. Our approach shows improved performance over binocular stereo, and the accuracy of the recovered motion allows to compute optical ow from a
single disparity map. These claims are validated with the KITTI 2012 data set.

Event

2017 Fifteenth IAPR International Conference on Machine Vision Applications

8/05/1712/05/17

Nagoya, Japan

Event: Conference

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