Assessment of a camera pose algorithm using images of brick sewers-Reference-Cited by-同舟云学术

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Assessment of a camera pose algorithm using images of brick sewers

Published:2001-05 Issue:4 Volume:10 Page:527-540
ISSN:0926-5805
Container-title:Automation in Construction
language:en
Short-container-title:Automation in Construction

Author:

Cooper D.,Pridmore T.P.,Taylor N.

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference10 articles.

1. Automatic task modelling for sewer studies;Broadhurst;Autom. Constr.,1996

2. J. Canny, Finding edges and lines in images. MIT-AI-TR-720, Massachusetts Institute of Technology, 1983.

3. Towards the recovery of extrinsic camera parameters from video records of sewer surveys;Cooper;Mach. Vision Appl.,1998

4. Manual of Sewer Condition Classification,1980

5. The detection and tracking of pipe joints in noisy images;Pan,1994

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1. Sewage Pipeline Fault Detection using Image Processing;2022 6th International Conference on Electronics, Communication and Aerospace Technology;2022-12-01

2. Integrated Vision-Based System for Automated Defect Detection in Sewer Closed Circuit Television Inspection Videos;Journal of Computing in Civil Engineering;2015-01

3. Optical flow techniques for estimation of camera motion parameters in sewer closed circuit television inspection videos;Automation in Construction;2014-03

4. Historical photography-based computer-aided architectural design: Demolished buildings information modeling with reverse engineering functionality;Automation in Construction;2008-12

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