Design and Calibration of Multi-camera Systems for 3D Computer Vision: Lessons Learnt from Two Case Studies
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- 关键词：Multi ; view reconstruction ; 3D reconstruction ; Camera hardware ; Camera calibration ; Lighting
- 刊名：Lecture Notes in Computer Science
- 出版年：2016
- 出版时间：2016
- 年：2016
- 卷：9555
- 期：1
- 页码：206-219
- 全文大小：3,531 KB
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Matthew Signal (16)
Steven Mills (17)
Richard Green (15)
15. Department of Computer Science, University of Canterbury, Christchurch, New Zealand
16. Tiro Lifesciences, Christchurch, New Zealand
17. Department of Computer Science, University of Otago, Dunedin, New Zealand - 丛书名：Image and Video Technology ᾿PSIVT 2015 Workshops
- ISBN：978-3-319-30285-0
- 刊物类别：Computer Science
- 刊物主题：Artificial Intelligence and Robotics
Computer Communication Networks
Software Engineering
Data Encryption
Database Management
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity - 出版者：Springer Berlin / Heidelberg
- ISSN：1611-3349
文摘
This paper examines how the design of imaging hardware for multi-view 3D reconstruction affects the performance and complexity of the computer vision system as a whole. We examine two such systems: a grape vine pruning robot (a 4.5 year/20 man-year project), and a breast cancer screening device (a 10 year/25 man-year project). In both cases, mistakes in the initial imaging hardware design greatly increased the overall development time and cost by making the computer vision unnecessarily challenging, and by requiring the hardware to be redesigned and rebuilt. In this paper we analyse the mistakes made, and the successes experienced on subsequent hardware iterations. We summarise the lessons learned about platform design, camera setup, lighting, and calibration, so that this knowledge can help subsequent projects to succeed.