Optimized selection of key frames for monocular videogrammetric surveying of civil infrastructure

Authors:  Abbas Rashidi, Fei Dai, Ioannis Brilakis, Patricio Vela

Abstract: 
Videogrammetry is an inexpensive and easy-to-use technology for spatial 3D scene recovery. When applied to large scale civil infrastructure scenes, only a small percentage of the collected video frames are required to achieve robust results. However, choosing the right frames requires careful consideration. Videotaping a built infrastructure scene results in large video files filled with blurry, noisy, or redundant frames. This is due to frame rate to camera speed ratios that are often higher than necessary; camera and lens imperfections and limitations that result in imaging noise; and occasional jerky motions of the camera that result in motion blur; all of which can significantly affect the performance of the videogrammetric pipeline. To tackle these issues, this paper proposes a novel method for automating the selection of an optimized number of informative, high quality frames. According to this method, as the first step, blurred frames are removed using the thresholds determined based on a minimum level of frame quality required to obtain robust results. Then, an optimum number of key frames are selected from the remaining frames using the selection criteria devised by the authors. Experimental results show that the proposed method outperforms existing methods in terms of improved 3D reconstruction results, while maintaining the optimum number of extracted frames needed to generate high quality 3D point clouds.

Keywords:
Spatial remote sensing
3D reconstruction
Motion blur
Point cloud
Key frames
Infrastructure

Published in: Advanced Engineering Informatics (Volume 27, Issue 2, January 2013)

Publisher: Elsevier

ISSN Information: 1474-0346

Optimized selection of key frames for monocular videogrammetric surveying of civil infrastructure

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