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Title:

Innovative Stereo Vision-Based Approach to Generate Dense Depth Map of Transportation Infrastructure

Accession Number:

01338028

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/9780309167291

Abstract:

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.

Monograph Accession #:

01352159

Report/Paper Numbers:

11-1244

Language:

English

Authors:

Rashidi, Abbas
Fathi, Habib
Brilakis, Ioannis

Pagination:

pp 93-99

Publication Date:

2011

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2215
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309167291

Media Type:

Print

Features:

Figures; Photos; References (16) ; Tables (2)

Subject Areas:

Construction; Data and Information Technology; Transportation (General); I50: Construction and Supervision of Construction

Files:

TRIS, TRB, ATRI

Created Date:

Feb 17 2011 5:44PM

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