000 | 01356 a2200205 4500 | ||
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005 | 20200203143959.0 | ||
008 | 200130b xxu||||| |||| 00| 0 eng d | ||
020 | _a9780128155035 | ||
040 | _cIIT Kanpur | ||
041 | _aeng | ||
082 |
_a006.37 _bIn3 |
||
245 |
_aInfrastructure computer vision _cedited by Ioannis Brilakis and Carl Haas |
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260 |
_bButterworth-Heinemann _c2020 _aOxford |
||
300 | _axvii, 389p | ||
520 | _aInfrastructure 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 | ||
650 | _aComputer vision | ||
700 | _aBrilakis, Ioannis [ed.] | ||
700 | _aHaas, Carl [ed.] | ||
942 | _cBK | ||
999 |
_c561207 _d561207 |