Title :
Dense depth map acquisition by hierarchic structured light
Author :
Niu, Peiyi ; He, Xiang ; Wong, Andrew K.C.
Author_Institution :
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
Abstract :
Structured light systems (SLS) have been used in 3D model building for a long time. However, the comprehensive performance of such systems, in terms of data acquisition speed and depth density, is still far from being perfect. In this paper, we introduce a new pattern design for SLS in order to get a dense depth map while in principle maintaining the acquisition speed, high reliability and accuracy. Our system uses a hierarchical integration of features and textures in the projection pattern. This hierarchy is then used to guide the matching process. The effectiveness of the method has been demonstrated by extensive experiments.
Keywords :
correlation methods; data acquisition; image matching; image reconstruction; image texture; stereo image processing; correlation algorithm; data acquisition; dense depth map acquisition; depth recovery; hierarchical projection pattern; stereo matching; structured light systems; texture matching; trinocular configuration; Buildings; Cameras; Data acquisition; Data mining; Distance measurement; Laser sintering; Layout; Lighting control; Maintenance; Pattern matching;
Conference_Titel :
Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7398-7
DOI :
10.1109/IRDS.2002.1041383