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Infrastructure computer vision

Contributor(s): Brilakis, Ioannis [ed.] | Haas, Carl [ed.].
Publisher: Oxford Butterworth-Heinemann 2020Description: xvii, 389p.ISBN: 9780128155035.Subject(s): Computer visionDDC classification: 006.37 | In3 Summary: Infrastructure Computer Vision delves into this field of computer science that works on enabling computers to see, identify, process images and provide appropriate output in the same way that human vision does. However, implementing these advanced information and sensing technologies is difficult for many engineers. This book provides civil engineers with the technical detail of this advanced technology and how to apply it to their individual projects. Explains how to best capture raw geometrical and visual data from infrastructure scenes and assess their quality Offers valuable insights on how to convert the raw data into actionable information and knowledge stored in Digital Twins Bridges the gap between the theoretical aspects and real-life applications of computer vision
List(s) this item appears in: New arrival Jan. 27 to Feb. 02, 2020
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Item type Current location Collection Call number Status Date due Barcode Item holds
Books Books PK Kelkar Library, IIT Kanpur
General Stacks 006.37 In3 (Browse shelf) Available A185222
Total holds: 0

Infrastructure Computer Vision delves into this field of computer science that works on enabling computers to see, identify, process images and provide appropriate output in the same way that human vision does. However, implementing these advanced information and sensing technologies is difficult for many engineers. This book provides civil engineers with the technical detail of this advanced technology and how to apply it to their individual projects.

Explains how to best capture raw geometrical and visual data from infrastructure scenes and assess their quality
Offers valuable insights on how to convert the raw data into actionable information and knowledge stored in Digital Twins
Bridges the gap between the theoretical aspects and real-life applications of computer vision

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