Error correction of depth images for multiview time-of-flight vision sensors. (22nd July 2020)
- Record Type:
- Journal Article
- Title:
- Error correction of depth images for multiview time-of-flight vision sensors. (22nd July 2020)
- Main Title:
- Error correction of depth images for multiview time-of-flight vision sensors
- Authors:
- He, Yu
Chen, Shengyong - Abstract:
- The developing time-of-flight (TOF) camera is an attractive device for the robot vision system to capture real-time three-dimensional (3D) images, but the sensor suffers from the limit of low resolution and precision of images. This article proposes an approach to automatic generation of an imaging model in the 3D space for error correction. Through observation data, an initial coarse model of the depth image can be obtained for each TOF camera. Then, its accuracy is improved by an optimization method. Experiments are carried out using three TOF cameras. Results show that the accuracy is dramatically improved by the spatial correction model.
- Is Part Of:
- International journal of advanced robotic systems. Volume 17:Number 4(2020:Jul./Aug.)
- Journal:
- International journal of advanced robotic systems
- Issue:
- Volume 17:Number 4(2020:Jul./Aug.)
- Issue Display:
- Volume 17, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 17
- Issue:
- 4
- Issue Sort Value:
- 2020-0017-0004-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-07-22
- Subjects:
- Robot vision -- 3D image -- TOF -- multiview -- depth camera -- error correction
Robotics -- Periodicals
Robotics
Periodicals
629.892 - Journal URLs:
- http://arx.sagepub.com/ ↗
http://search.epnet.com/direct.asp?db=bch&jid=13CR&scope=site ↗
http://www.intechweb.org/journal.php?id=3 ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/1729881420942379 ↗
- Languages:
- English
- ISSNs:
- 1729-8806
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13693.xml