A compact parametric solution to depth sensor calibration

Andrew Spek, Tom Drummond

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Abstract

We present a method for calibration of low-cost depth sensors such as the Microsoft Kinect. We show this method is effective at correcting the structured sensor error using a compact parametric solution, that uses only a small fraction of the number of parameters used in many existing approaches. Additionally we provide this calibration as an open-source implementation, with limited required external dependencies. We demonstrate our approach can optimise directly for a geometric depth and radial distortion calibration function in minutes on modern hardware.

Original languageEnglish
Title of host publicationBritish Machine Vision Conference Proceedings 2017
EditorsKrystian Mikolajczyk, Gabriel Brostow
Place of PublicationLondon UK
PublisherBritish Machine Vision Association and Society for Pattern Recognition
Number of pages12
ISBN (Electronic)9781901725605
ISBN (Print)190172560X
DOIs
Publication statusPublished - 2017
EventBritish Machine Vision Conference 2017 - Royal Geographic Society of London, London, United Kingdom
Duration: 4 Sep 20177 Sep 2017
Conference number: 28th
https://bmvc2017.london/
https://dblp.org/db/conf/bmvc/bmvc2017.html

Conference

ConferenceBritish Machine Vision Conference 2017
Abbreviated titleBMVC 2017
CountryUnited Kingdom
CityLondon
Period4/09/177/09/17
Internet address

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