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Volumn , Issue , 2011, Pages 178-185

The effective acquisition and processing of 3D photogrammetric data from digital photogrammetry for construction progress measurement

Author keywords

3D Object Detection; Digital Photogrammetry; Progress Measurement; Support Vector Machine; Tensor Voting

Indexed keywords

3D OBJECT; DIGITAL PHOTOGRAMMETRY; PROGRESS MEASUREMENT; SUPPORT VECTOR; TENSOR VOTING;

EID: 80053148143     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/41182(416)22     Document Type: Conference Paper
Times cited : (13)

References (11)
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  • 2
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    • Bosche, F.1
  • 3
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    • Assessing the accuracy of applying photogrammetry to take geometric measurements on building products
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    • (2010) Journal of Construction Engineering and Management , vol.136 , Issue.2 , pp. 242-250
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  • 4
    • 80053164906 scopus 로고    scopus 로고
    • last accessed on December 31 2010
    • Eos Systems, Inc. (2010). http://www.photomodeler.com/index.htm, last accessed on December 31 2010.
    • (2010)
  • 5
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    • 4AR-A 4-dimensional augmented reality model for automating construction progress monitoring data collection, processing, and communication
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    • (2009) Journal of Information Technology in Construction , vol.14 , pp. 129-153
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  • 7
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    • Niese, R.1    Al-Hamadi, A.2    Michaelis, B.3
  • 8
    • 80053153751 scopus 로고    scopus 로고
    • Laser scanning versus photogrammetry combined with manual post-modeling in stecak digitization
    • Budmerice, Slovakia
    • Radisevic, G. (2010). "Laser scanning versus photogrammetry combined with manual post-modeling in Stecak digitization, Proc., 14th Central European Seminar on Computer Graphics, Budmerice, Slovakia.
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  • 9
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    • Registration of 2D points using geometric algebra and tensor voting
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  • 10
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    • Point-cloud-based comparison between construction schedule and as-built progress: Long-range three-dimensional laser scanner's approach
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.