• Laser & Optoelectronics Progress
  • Vol. 58, Issue 22, 2215006 (2021)
Jiaojiao Kou1, Xiaoxue Chen1, Yuehua Yu1, Linqi Hai1, Pengbo Zhou2, Haibo Zhang1, and Guohua Geng1、*
Author Affiliations
  • 1School of Information Sciences and Technology, Northwest University, Xi'an, Shaanxi 710127, China
  • 2College of Arts and Media, Beijing Normal University, Beijing 100875, China
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    DOI: 10.3788/LOP202158.2215006 Cite this Article Set citation alerts
    Jiaojiao Kou, Xiaoxue Chen, Yuehua Yu, Linqi Hai, Pengbo Zhou, Haibo Zhang, Guohua Geng. Compression Restoration Framework for Dense Point Cloud Model of Cultural Relics[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2215006 Copy Citation Text show less
    3D point cloud dragon model division based on octree. (a) Undivided model; (b) model built by a complete octree; (c) model built by an incomplete octree
    Fig. 1. 3D point cloud dragon model division based on octree. (a) Undivided model; (b) model built by a complete octree; (c) model built by an incomplete octree
    Flow chart of geometric signal reconstruction based on 3D cultural relic point cloud
    Fig. 2. Flow chart of geometric signal reconstruction based on 3D cultural relic point cloud
    Reconstruction results of the Huren figurine point cloud model by different algorithms. (a) MP algorithm; (b) OMP algorithm; (c) StOMP algorithm; (d) ROMP algorithm
    Fig. 3. Reconstruction results of the Huren figurine point cloud model by different algorithms. (a) MP algorithm; (b) OMP algorithm; (c) StOMP algorithm; (d) ROMP algorithm
    Reconstruction results of different algorithms on the point cloud model of the terracotta warriors head. (a) MP algorithm; (b) OMP algorithm; (c) StOMP algorithm; (d) ROMP algorithm
    Fig. 4. Reconstruction results of different algorithms on the point cloud model of the terracotta warriors head. (a) MP algorithm; (b) OMP algorithm; (c) StOMP algorithm; (d) ROMP algorithm
    Cultural relic point cloud modelDirectionNumber of point cloudsNon-zero quantityNumber ofsampling pointsSensing matrix scaleSampling signal size
    Tang Sancai Huren figurinesXYZ10372810372810372831003100310012400124001240012400×10372812400×112400×112400×1
    Terracotta warrior headXYZ6240062400624001802180218027200720072007200×624007200×17200×17200×1
    Table 1. Numerical scale of 3D cultural relic point cloud model
    Reconstruction algorithmMatrix sizeNumber of iterationsGiven errorReconstruction time /sMAE
    MP12400×103728100--896.4550.9227
    OMP12400×103728100--977.3510.6583
    StOMP12400×103728100--820.5360.5029
    ROMP12400×103728--10-2942.9230.5244
    Table 2. Reconstruction results of the point cloud model of Tang Sancai Huren figurines by different algorithms
    Reconstruction algorithmMatrix sizeNumber of iterationsGiven errorReconstruction time /sMAE
    MP7200×62400100--371.5081.3462
    OMP7200×62400100--425.9120.5257
    StOMP7200×62400100--307.8670.3041
    ROMP7200×62400--10-2413.0430.3674
    Table 3. Reconstruction results of different algorithms on the point cloud model of the terracotta warrior head
    Jiaojiao Kou, Xiaoxue Chen, Yuehua Yu, Linqi Hai, Pengbo Zhou, Haibo Zhang, Guohua Geng. Compression Restoration Framework for Dense Point Cloud Model of Cultural Relics[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2215006
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