Rashidi, A and Fathi, H and Brilakis, I (2011) Innovative Stereo Vision-Based Approach to Generate Dense Depth Map of Transportation Infrastructure. In: Proceedings of the 2011 Transportation Research Board Annual Meeting, 23-1-2011 to 27-1-2011, Washington, DC, United States of America pp. 93-99..Full text not available from this repository.
Three-dimensional (3-D) spatial data of a transportation infrastructure contain useful information for civil engineering applications, including as-built documentation, on-site safety enhancements, and progress monitoring. Several techniques have been developed for acquiring 3-D point coordinates of infrastructure, such as laser scanning. Although the method yields accurate results, the high device costs and human effort required render the process infeasible for generic applications in the construction industry. A quick and reliable approach, which is based on the principles of stereo vision, is proposed for generating a depth map of an infrastructure. Initially, two images are captured by two similar stereo cameras at the scene of the infrastructure. A Harris feature detector is used to extract feature points from the first view, and an innovative adaptive window-matching technique is used to compute feature point correspondences in the second view. A robust algorithm computes the nonfeature point correspondences. Thus, the correspondences of all the points in the scene are obtained. After all correspondences have been obtained, the geometric principles of stereo vision are used to generate a dense depth map of the scene. The proposed algorithm has been tested on several data sets, and results illustrate its potential for stereo correspondence and depth map generation.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Depositing User:||Cron Job|
|Date Deposited:||25 Aug 2012 03:10|
|Last Modified:||03 Jun 2013 01:11|
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