Optics and Precision Engineering, Volume. 28, Issue 12, 2729(2020)

C raniofacial statistical recon stru ction b y rad ial cu rves

WANG Lin1... ZHAO Jun-li1,*, HUANG Rui-kun1, LI Shu-xian2 and LI Shou-zhe3 |Show fewer author(s)
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  • 1[in Chinese]
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    References(16)

    [1] [1] RINCHON S, ARPITA S, MAHIPAL S, et al.. 3D forensic facial reconstruction: a review of the tra. ditional sculpting methods and recent computerised developments[J]. International Journal of Forensic Sciences, 2018, 3(1): 2573-1734.

    [2] [2] PHILLIPS V M, SMUTS N A. Facial reconstruc. tion: utilization of computerized tomography to mea. sure facial tissue thickness in a mixed racial popula. tion[J]. Forensic Science International, 1996, 83(1): 51-59.

    [5] [5] SHUI W Y, ZHOU M Q, DENG Q Q, et al.. Densely calculated facial soft tissue thickness for cra. niofacial reconstru ction in Chinese adults[J]. Fo. rensic Science International, 2016, 266: 573.

    [6] [6] CLAES P, VANDERMEULEN D, GREEF S D, et al.. Computerized craniofacial reconstruction: Conceptual framework and review[J]. Forensic Science International, 2010, 201(1-3): 138-145.

    [7] [7] CLAES P, VANDERMEULEN D, GREEF S D, et al.. Statistically deformable face models for cra. nio-facial reconstruction[J]. Journal of Computing and Information Technology, 2006, 14(1): 21.

    [8] [8] BERAR M, DESVIGNES M, BAILLY G, et al.. 3D Semi-Landmarks-Based Statistical Face Re. construction[J]. Journal of Computing and Informa. tion Technology, 2006, 14(1): 31-43.

    [9] [9] HU Y L, DUAN F Q, YIN B C, et al.. A hierar. chical dense deformable model for 3D face recon. struction from skull[J]. Multimedia Tools and appli. cations, 2013, 64(2): 345-364.

    [10] [10] ZHANG Y F, ZHOU M Q. Research and Implementation of Segmentation-based Craniofacial Re. construction Algorithm[D]. Xi'an: Northwest Uni. versity, 2010.

    [11] [11] BERAR M, TILOTTA F M, JOANN A. GLAUNèS, et al.. Craniofacial reconstruction as a prediction problem usinga Latent Root Regres. sion model[J]. Forensic Science International, 2011, 210(1-3): 228-236.

    [12] [12] DUAN F Q, YANG S, HUANG D H. Craniofa. cial reconstruction based on multi-linear subspace analysis[J]. Multimedia Tools and Applications, 2014, 73(2): 809-823.

    [13] [13] DUAN F Q, HUANG D H, TIAN Y, et al.. 3D face reconstruction from skull by regression model. ing in shape parameter spaces[J]. Neurocomput. ing, 2015, 151: 674-682.

    [14] [14] MADSEN D, LüTHI M, SCHNEIDER A, et al.. Probabilistic joint face-skull modelling for fa. cial reconstruction[C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recog. nition, 2018: 5295-5303.

    [16] [16] HUANG R K, ZHAO J L, DUAN F Q, et al.. Automatic craniofacial registration based on radial curves[J]. Computers & Graphics, 2019, 82: 264.

    [17] [17] WILLIAM E Lorensen, Harvey E Cline. March. ing cubes: A high resolution 3D surface construc. tion algorithm[J]. ACM Siggraph Computer Graphics. ACM, 1987, 21(4): 163-169.

    [18] [18] DUAN F Q, YANG Y C, et al.. Skull Identifica. tion via Correlation Measure Between Skull and Face Shape[J]. IEEE Transactions on Informa. tion Forensics & Security, 2014, 9(8): 1322-1332.

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    WANG Lin, ZHAO Jun-li, HUANG Rui-kun, LI Shu-xian, LI Shou-zhe. C raniofacial statistical recon stru ction b y rad ial cu rves[J]. Optics and Precision Engineering, 2020, 28(12): 2729

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    Paper Information

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    Received: Jul. 14, 2020

    Accepted: --

    Published Online: Jan. 19, 2021

    The Author Email: Jun-li ZHAO (zhaojl@yeah.net)

    DOI:10. 37188/ope. 20202812. 2729

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