Rectification of a mobile multi-camera chain based on hardware pose measures

Francisco Calderon, Johana Florez, Carlos Parra, Cesar Nino

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

1 Scopus citations

Abstract

In this paper we present an image rectification method for a multi-view image set captured by a mobile and articulated camera arrangement. The cameras are located in individual modules, each module consist in a camera, a single actuator and a proprioceptive angle sensor (servomotor encoder). Each module is connected to other modules in a linear chain configuration, with the restriction that the optical axis of all cameras are coplanar. The rectification proposed is based on an initial calibration-rectification with a known pattern. Then, a continuous self-rectification is proposed by using the Kalman filtered measures of the chain actuators. The rectification technique proposed is tested with real measurements from an articulated arrangement, results shown a fast and reliable sub pixel accuracy in the rectification.

Original languageEnglish
Title of host publication2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings
EditorsPedro Vizcaya Guarin, Lorena Garcia Posada
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467394611
DOIs
StatePublished - 16 Nov 2015
Event20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Bogota, Colombia
Duration: 02 Sep 201504 Sep 2015

Publication series

Name2015 20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015 - Conference Proceedings

Conference

Conference20th Symposium on Signal Processing, Images and Computer Vision, STSIVA 2015
Country/TerritoryColombia
CityBogota
Period02/09/1504/09/15

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