DocumentCode :
154716
Title :
Research of acquisition method for pavement surface texture based on photometric stereo techniques
Author :
Jinyu Lei ; Enjun Wang ; Juan Zeng ; Weifeng Wang ; Jianbo Wu
Author_Institution :
Intell. Transp. Syst. Res. Center, Wuhan Univ. of Technol., Wuhan, China
fYear :
2014
fDate :
8-11 Oct. 2014
Firstpage :
1596
Lastpage :
1601
Abstract :
A 3D reconstruction technique was applied to acquire pavement surface texture since the traditional method can´t achieve the balance between accuracy and economy. In this study, a simple pavement texture detection platform consisting of a camera, lighted sources and tripod was developed basing on four sources photometric stereo technique. Then the pictures captured by detection platform were analyzed by least square method to extract the normals of points in the pavement surface. When these normals were calculated, they were used to recover surface heights of pavements by tangent plane method. The experimental result shows that the 3D model of asphalt pavement recovered by photometric stereo technique is efficiency to reveal the pavement surface topography both in macro-scale and micro-scale.
Keywords :
image reconstruction; image texture; least squares approximations; roads; solid modelling; stereo image processing; structural engineering computing; 3D model; 3D reconstruction technique; acquisition method; asphalt pavement; camera; least square method; lighted sources; pavement surface texture; pavement surface topography; pavement texture detection platform; photometric stereo techniques; surface height recovery; tangent plane method; tripod; Cameras; Equations; Light sources; Mathematical model; Surface topography; Three-dimensional displays; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ITSC.2014.6957921
Filename :
6957921
Link To Document :
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