Zhu, Z and German, S and Roberts, S and Brilakis, I and DesRoches, R (2011) Machine Vision Enhanced Post-earthquake Inspection. In: ASCE International Workshop on Computing in Civil Engineering, 2011-6-19 to 2011-6-22, Miami, FL, United States of America pp. 152-160..Full text not available from this repository.
Camera motion estimation is one of the most significant steps for structure-from-motion (SFM) with a monocular camera. The normalized 8-point, the 7-point, and the 5-point algorithms are normally adopted to perform the estimation, each of which has distinct performance characteristics. Given unique needs and challenges associated to civil infrastructure SFM scenarios, selection of the proper algorithm directly impacts the structure reconstruction results. In this paper, a comparison study of the aforementioned algorithms is conducted to identify the most suitable algorithm, in terms of accuracy and reliability, for reconstructing civil infrastructure. The free variables tested are baseline, depth, and motion. A concrete girder bridge was selected as the "test-bed" to reconstruct using an off-the-shelf camera capturing imagery from all possible positions that maximally the bridge's features and geometry. The feature points in the images were extracted and matched via the SURF descriptor. Finally, camera motions are estimated based on the corresponding image points by applying the aforementioned algorithms, and the results evaluated.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Depositing User:||Cron job|
|Date Deposited:||16 Jul 2015 14:10|
|Last Modified:||05 Aug 2015 03:30|