Journal of Shandong University(Engineering Science) ›› 2024, Vol. 54 ›› Issue (3): 30-35.doi: 10.6040/j.issn.1672-3961.0.2023.169

• Machine Learning & Data Mining • Previous Articles    

3D facial midsagittal plane prediction model with point cloud processing network

LIU Zhenguang1,2, ZHU Yujia3,4,5, WANG Yong3,4,5, FU Xiangling1,2,5, ZHAO Yijiao3,4,5, CHEN Jinpeng1,2,5*   

  1. 1. School of Computer Science(National Pilot Software Engineering School), BUPT, Beijing 100876, China;
    2. Key Laboratory of Trustworthy Distributed Computing and Service(BUPT), Ministry of Education, Beijing 100876, China;
    3. Peking University School and Hospital of Stomatology, Beijing 100081, China;
    4. National Center for Stomatology, Beijing 100081, China;
    5. National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China
  • Published:2024-06-28

PDF (PC)

146

CLC Number: 

  • TP18
[1] 赵一姣, 高林, 王勇. 颅颌面点云数据解剖标志点及对称参考平面的构建算法浅析[J]. 中华口腔医学杂志, 2023, 58(6):519-526. ZHAO Yijiao, GAO Lin, WANG Yong. Advances in algorithms for three-dimensional craniomaxillofacial features construction based on point clouds[J]. Chinese Journal of Stomatology, 2023, 58(6):519-526.
[2] XIONG Y X, ZHAO Y J, YANG H F, et al. Accuracy assessment of Procrustes analysis for computing mid-sagittal plane of three-dimensional facial data[C] //International Conference on Optical and Photonic Engineering(icOPEN). Bellingham, USA: SPIE, 2015, 9524: 123-131.
[3] NUR R B, ÇAKAN D G, ARUN T. Evaluation of facial hard and soft tissue asymmetry using cone-beam computed tomography[J]. American Journal of Orthodontics and Dentofacial Orthopedics, 2016, 149(2): 225-237.
[4] 刘筱菁, 李倩倩, 王晓霞, 等. 基于本体-镜像关联的三维头颅正中矢状面自动构建法[J]. 中华口腔正畸学杂志, 2014, 21(3): 148-150. LIU Xiaojing, LI Qianqian, WANG Xiaoxia, et al. Automatic constructed MSP of 3D skull based on original-mirror alignment[J]. Chinese Journal of Orthodontics, 2014, 21(3): 148-150.
[5] XIONG Y X, ZHAO Y J, YANG H F, et al. Comparison between interactive closest point and Procrustes analysis for determining the median sagittal plane of three-dimensional facial data[J]. Journal of Craniofacial Surgery, 2016, 27(2): 441-444.
[6] ZHU Y J, ZHENG S W, YANG G S, et al. A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm[J]. BMC Oral Health, 2020, 20(1): 1-11.
[7] ZHU Y J, ZHAO Y J, ZHENG S W, et al. A method for constructing three-dimensional face symmetry reference plane based on weighted shape analysis algorithm[J]. Journal of Peking University(Health Sciences), 2020, 53(1): 220-226.
[8] HARTMANN J, MEYER-MARCOTTY P, BENZ M, et al. Reliability of amethod for computing facial symmetry plane and degree of asymmetry based on 3D-data[J]. Journal of Orofacial Orthopedics, 2007, 68(6): 477-490.
[9] 张顺利, 徐艳芝, 周明全, 等. 基于自适应邻域匹配的点云配准方法[J]. 计算机学报, 2019, 42(9): 2114-2126. ZHANG Shunli, XU Yanzhi, ZHOU Mingquan, et al.Registration of point clouds based on matching of general adaptive neighborhood[J]. Chinese Journal of Computers, 2019, 42(9): 2114-2126.
[10] CHEN J P, CAO Y, ZHANG F, et al. Sequential intention-aware recommender based on user interaction graph[C] //Proceedings of the 2022 International Conference on Multimedia Retrieval(ICMR). New York, USA: ACM, 2022: 118-126.
[11] XU Y, HU J, GAO Z Q, et al. UCL-AST: active self-training with uncertainty-aware clouded logits for few-shot text classification[C] //IEEE 34th International Conference on Tools with Artificial Intelligence(ICTAL). Piscataway, USA: IEEE, 2022: 1390-1395.
[12] CAO Y, GAO Z Q, HU J, et al. Nearest neighbor classifier with margin penalty for active learning[C] //International Conference on Neural Information Processing. Berlin, German: Springer, 2022: 379-392.
[13] 李宗霖, 张盛平, 刘杨, 等. 基于多级残差映射器的文本驱动人脸图像生成和编辑[J]. 软件学报, 2023, 34(5): 2101-2115. LI Zonglin, ZHANG Shengping, LIU Yang, et al. Text-driven face image generation and manipulation via multi-level residual mapper[J]. Journal of Software, 2023, 34(5): 2101-2115.
[14] KIM M, JAIN A K, LIU X M. Adaface: quality adaptive margin for face recognition[C] //Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). Piscataway, USA: IEEE, 2022: 18750-18759.
[15] ZHU Y J, XU Q, ZHAO Y J, et al. Deep learning-assisted construction of three-dimensional facial midsa-gittal plane[J]. Journal of Peking University(Health Sciences), 2022, 54(1): 134-139.
[16] QI C R, SU H, MO K C, et al. PointNet: deep learning on point sets for 3D classification and segmentation[C] //Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). Piscataway, USA: IEEE, 2017: 652-660.
[17] QI C R, YI L, SU H, et al. PointNet++: deep hierarchical feature learning on point sets in a metric space[J]. Advances in Neural Information Processing Systems, 2017, 30: 5099-5108.
[18] WANG Y, SUN Y B, LIU Z W, et al. Dynamic graph CNN for learning on point clouds[J]. ACM Transactions on Graphics, 2019, 38(5): 1-12.
[19] WU W X, QI Z G, LI F X. PointConv: deep convolutional networks on 3d point clouds[C] //Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR). Piscataway, USA: IEEE, 2019: 9621-9630.
[20] ZHAO H S, LI J, JIA J Y, et al. Point transformer[C] //Proceedings of the IEEE/CVF International Conference on Computer Vision(ICCV). Piscataway, USA: IEEE, 2021: 16259-16268.
[21] GUO M H, CAI J X, LIU Z N, et al. PCT: point cloud transformer[J]. Computational Visual Media, 2021, 7: 187-199.
[1] XU Qianqian, XU Qian, XU Huachang, ZHAO Yulin, XU Kai, ZHU Hong. Intelligent prediction method of IDH1 mutation status of glioma based on CnViT [J]. Journal of Shandong University(Engineering Science), 2023, 53(2): 127-134.
[2] LIU Ziyi, CUI Chaoran, MENG Fan'an, LIN Peiguang. Multi-source-free domain adaptation with batch normalization statistics [J]. Journal of Shandong University(Engineering Science), 2023, 53(2): 102-108.
[3] Chunhong CAO,Hongxuan DUAN,Ling CAO,Lele ZHANG,Kai HU,Fen XIAO. Real-time semantic segmentation of high-resolution remote sensing image based on multi-level feature cascade [J]. Journal of Shandong University(Engineering Science), 2021, 51(2): 19-25.
[4] Yan PENG,Tingting FENG,Jie WANG. An integrated learning approach for O3 mass concentration prediction model [J]. Journal of Shandong University(Engineering Science), 2020, 50(4): 1-7.
[5] Yifei LI,Zunhua GUO. A Chirplet neural network for automatic target recognition [J]. Journal of Shandong University(Engineering Science), 2020, 50(3): 8-14.
[6] Yibin WANG,Tianli LI,Yusheng CHENG,Kun QIAN. Label distribution learning based on kernel extreme learning machine auto-encoder [J]. Journal of Shandong University(Engineering Science), 2020, 50(3): 58-65.
[7] Chunyang LI,Nan LI,Tao FENG,Zhuhe WANG,Jingkai MA. Abnormal sound detection of washing machines based on deep learning [J]. Journal of Shandong University(Engineering Science), 2020, 50(2): 108-117.
[8] Minghe GAO,Ying ZHANG,Rongrong ZHANG,Zihao HUANG,Linyan HUANG,Fanyu LI,Xin ZHANG,Yanhao WANG. Air quality prediction approach based on integrating forecasting dataset [J]. Journal of Shandong University(Engineering Science), 2020, 50(2): 91-99.
[9] Yingda LI,Zongxia XIE. Support vector regression algorithm based on kernel similarity reduced strategy [J]. Journal of Shandong University(Engineering Science), 2019, 49(3): 8-14.
[10] Chengbin ZHANG,Hui ZHAO,Zongyu CAO. The vulnerability mining method for KWP2000 protocol based on deep learning and fuzzing [J]. Journal of Shandong University(Engineering Science), 2019, 49(2): 17-22.
[11] Kuo PANG,Siqi CHEN,Xiaoying SONG,Li ZOU. Linguistic concept formal decision context analysis based on granular computing [J]. Journal of Shandong University(Engineering Science), 2018, 48(6): 74-81.
[12] Hong CHEN,Xiaofei YANG,Qing WAN,Yingcang MA. Multi-label feature selection algorithm based on correntropy andmanifold learning [J]. Journal of Shandong University(Engineering Science), 2018, 48(6): 27-36.
[13] Mengmeng LIANG,Tao ZHOU,Yong XIA,Feifei ZHANG,Jian YANG. Lung tumor images recognition based on PSO-ConvK convolutional neural network [J]. Journal of Shandong University(Engineering Science), 2018, 48(5): 77-84.
[14] HE Zhengyi, ZENG Xianhua, GUO Jiang. An ensemble method with convolutional neural network and deep belief network for gait recognition and simulation [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 88-95.
[15] WANG Tingting, ZHAI Junhai, ZHANG Mingyang, HAO Pu. K-NN algorithm for big data based on HBase and SimHash [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2018, 48(3): 54-59.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright 2018 © Editorial office of Journal of Shandong University (Engineering Science)
Supported by Beijing Magtech Co.Ltd