Acta Geodaetica et Cartographica Sinica ›› 2018, Vol. 47 ›› Issue (2): 215-224.doi: 10.11947/j.AGCS.2018.20170520

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Automatic Registration of Vehicle-borne Mobile Mapping Laser Point Cloud and Sequent Panoramas

CHEN Chi1,2, YANG Bisheng1,2, TIAN Mao1,2, LI Jianping1,2, ZOU Xianghong1,2, WU Weitong1,2, SONG Yiheng1,2   

  1. 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    2. Engineering Research Center for Spatio-temporal Data Smart Acquisition and Application, Ministry of Education of China, Wuhan University, Wuhan 430079, China
  • Received:2017-09-14 Revised:2017-12-04 Online:2018-02-20 Published:2018-03-02
  • Supported by:
    The National Natural Science Foundation of China (Nos. 41701530;41725005;41531177);The National Key Research and Development Program of China (No. 2016YFF0103501);The China Postdoctoral Science Foundation (No. 2016M600614)

Abstract: An automatic registration method of mobile mapping system laser point cloud and sequence panoramic image is proposed in this paper.Firstly,hierarchical object extraction method is applied on LiDAR data to extract the building façade and outline polygons are generated to construct the skyline vectors.A virtual imaging method is proposed to solve the distortion on panoramas and corners on skylines are further detected on the virtual images combining segmentation and corner detection results.Secondly,the detected skyline vectors are taken as the registration primitives.Registration graphs are built according to the extracted skyline vector and further matched under graph edit distance minimization criteria.The matched conjugate primitives are utilized to solve the 2D-3D rough registration model to obtain the initial transformation between the sequence panoramic image coordinate system and the LiDAR point cloud coordinate system.Finally,to reduce the impact of registration primitives extraction and matching error on the registration results,the optimal transformation between the multi view stereo matching dens point cloud generated from the virtual imaging of the sequent panoramas and the LiDAR point cloud are solved by a 3D-3D ICP registration algorithm variant,thus,refine the exterior orientation parameters of panoramas indirectly.Experiments are undertaken to validate the proposed method and the results show that 1.5 pixel level registration results are achieved on the experiment dataset.The registration results can be applied to point cloud and panoramas fusion applications such as true color point cloud generation.

Key words: LiDAR point cloud, panoramas, registration, feature extraction, vehicle-borne mobile mapping system

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