Computer Science ›› 2021, Vol. 48 ›› Issue (11A): 308-313.doi: 10.11896/jsjkx.201100044
• Image Processing & Multimedia Technology • Previous Articles Next Articles
YAO Nan, ZHANG Zheng
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[1]QI L,LI P,JIN B,et al.Application of three-dimensional meas-urement technology in identification of human injury degree[J].Chinese Journal of Forensic Medicine,2019,34 (2):165-167,164. [2]LASSCHUIT J W J,FEATHERSTON J,TONKS K T T.Reliability of a Three-Dimensional Wound Camera and Correlation With Routine Ruler Measurement in Diabetes-Related Foot Ulceration[J/OL].Journal of Diabetes Science and Technology,2020. https://www.researchgate.net/publication/347201083_Reliability_of_a_Three-Dimensional_Wound_Camera_and_Correlation_With_Routine_Ruler_Measurement_in_Diabetes-Related_Foot_Ulceration. [3]TAN L.Automatic Assessment of Burn AreaBased on 3D Human Surface Reconstruction Technology[J].Shanghai:Donghua University,2014. [4]SHENG W,ZENG D,WAN Y,et al.BurnCalc assessment study of computer-aided individual three-dimensional burn area calculation[J].Journal of Translational Medicine,2014,12(1):242. [5]LU J,WANG L,ZHANG Y C,TANG H T,XIA Z F.Clinical application effect of burncalc 3D scanning system in burn wound area evaluation[J].Chinese Journal of Burns,2017,33 (10):597-601. [6]YAO L,DONG G S,TANG H T,et al.The application of athree-dimensional human body surface imaging technique in the estimation of human burn area[J].Journal of Donghua University:Natural Science Edition,2015,41(1):84-90. [7]YANG H J.Application of multi-slice spiral CT three-dimensional reconstruction in diagnosis of rib fracture and forensic clinical identification[J].Legal system Expo,2020 (8):155-156. [8]FU J Q.Preliminary study on three-dimensional measurement of injured scar surface with structured light[D].Huazhong:Huazhong University of Science and Technology,2016. [9]NIU C G,LIU Y J,LI Z M,et al.Three-dimensional target recognition and modelsegmentation method based on point cloud data[J].Journal of Graphics,2019,40(2):274-281. [10]QI C R,SU H,MO K,et al.Pointnet:Deep learning on point sets for 3d classification and segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2017:652-660. [11]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. [12]ZABIHOLLAHY F,WHITE J A,UKWATTA E.Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images[J].Medical Physics,2019,46(4):1740-1751. [13]LASSCHUIT J W J,FEATHERSTON J,TONKS K T T.Reliability of a Three-Dimensional Wound Camera and Correlation With Routine Ruler Measurement in Diabetes-Related Foot Ulceration[J].Journal of Diabetes Science and Technology,2020:193229682097465. [14]TONG J.Scanning and reconstruction of 3D object and human body based on depth camera[J].Zhejiang University,2012. [15]HU P P.Development of 3-d scanning system based on RGBD depth camera and research on multi-suit Simulation Algorithm[J].Donghua University,2017. [16]GUO H,SU W,ZHU D H,et al.Point cloud library PCL from entry to proficiency[M].Machinery Industry Press:Xi'an,2019:100-120. [17]KAZHDAN M,BOLITHO M,HOPPE H.Poisson surface reconstruction[C]//Proceedings of the Fourth Eurographics Symposium on Geometry Processing.2006,7. [18]HUANG P,ZHENG Q,LIANG C.Overview of image segmentation methods[J].Journal of Wuhan University (Science Edition),2020,66(6):519-531. [19]ALHARAN A F H,FATLAWI H K,ALI N S.A cluster-based feature selection method for image texture classification[J].Indonesian Journal of Electrical Engineering and Computer Ence,2019,14(3):1433-1442. [20]YAO L,CHENG Y R,WU H.Three-dimensional area measurement based on grid model[J].Software Guide,2016,15(2):98-101. |
[1] | XU Li-min and WU Gang. Review of Implicit Surface Reconstruction from Point Cloud Dataset [J]. Computer Science, 2017, 44(Z11): 19-23. |
[2] | LU Yong-huang and HUANG Shan. 3D Point Cloud Segmentation Method Based on Adaptive Angle [J]. Computer Science, 2017, 44(Z11): 166-168. |
[3] | QIN Xu-jia, CHEN Lou-heng, TAN Xiao-jun, ZHENG Hong-bo and ZHANG Mei-yu. Layer by Layer Triangulation Algorithm for 3D Point Clouds from Structured Light Vision [J]. Computer Science, 2016, 43(Z11): 383-387. |
[4] | LIU He-dan and WANG Cheng-en. Surface Reconstruction Skill Based on Key Characteristics Control in Second-order Polyhedral Meshes [J]. Computer Science, 2015, 42(1): 38-43. |
[5] | QIU Chun-li and XU Hong-li. Direct Triangulation Algorithm for Three-dimensional Scattered Points [J]. Computer Science, 2014, 41(2): 157-160. |
[6] | YU Hong,WU Zhe-fu,LIU Kai and HE Xiong-xiong. Height Estimation Algorithm Based on Surface Normal [J]. Computer Science, 2013, 40(5): 311-314. |
[7] | WANG Ming-fu,ZHOU Yong. Voxel-coding for Surface Reconstruction from Contours [J]. Computer Science, 2009, 36(7): 32-39. |
[8] | WANG Shu-zhong ZHANG You-sheng (Shandong Vocational Information College,Weifang 261041,China;Anhui Sanlian College,Hefei 230601,China). [J]. Computer Science, 2009, 36(5): 269-272. |
[9] | . [J]. Computer Science, 2009, 36(3): 253-255. |
[10] | . [J]. Computer Science, 2006, 33(6): 221-224. |
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