Laser & Optoelectronics Progress, Volume. 60, Issue 10, 1010011(2023)

Skull Identification Method Based on Fusion of View and Shape Features

Wen Yang, Mingquan Zhou, Guohua Geng*, and Xiaoning Liu
Author Affiliations
  • College of Information Science and Technology, Northwest University, Xi'an 710127, Shaanxi, China
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    References(32)

    [1] Brinkmann B. Forensic anthropology[J]. International Journal of Legal Medicine, 121, 431-432(2007).

    [2] Damas S, Cordón O, Ibáñez O et al. Forensic identification by computer-aided craniofacial superimposition: a survey[J]. ACM Computing Surveys, 43, 27(2011).

    [3] Hu Y L, Duan F Q, Yin B C et al. A hierarchical dense deformable model for 3D face reconstruction from skull[J]. Multimedia Tools and Applications, 64, 345-364(2013).

    [4] Jain A K, Pankanti S, Prabhakar S et al. Biometrics: a grand challenge[C], 935-942(2004).

    [5] Zhao W B, Yang F Z, Zhang Y N. Radon transform-based skull identification with multi-resolution[J]. Computer Engineering and Applications, 43, 242-245(2007).

    [6] Zhao W B, Yang F Z. Skull recognition with polynomial fitting contour[J]. Beijing Biomedical Engineering, 26, 454-457, 484(2007).

    [7] Zhao W B, Xie X W, Yang F Z et al. On skull recognition of quadratic rational Bezier curve fitting[J]. Journal of Biomedical Engineering, 25, 280-284(2008).

    [8] Zhao W B, Yang F Z, Zhang Y N. Wavelet-based skull contour identification[J]. Journal of Biomedical Engineering, 25, 1034-1038(2008).

    [9] Kong S S, Cao M Y, Chen H N et al. Investigation of skull identification use CT reconstructive image based on Polar-Radius-Invariant-Moment[C], 290-293(2006).

    [10] Yang K, Wang Y Y, Sun J H et al. Personal identification system two-dimensional bar code technology coding parietal sagittal suture[J]. China Modern Medicine, 18, 144-145(2011).

    [11] Zhang Y F, Xu S C, Sun N L. Skull recognition based on Embedded Hidden Markov models[C], 1153-1158(2008).

    [12] Cao M Y, Che X B, Sun N L et al. Features of central projection average difference function for skull recognition[C], 6399-6402(2005).

    [14] Hameed S A, Zaidan B B, Zaidan A A et al. An accurate method to obtain bio-metric measurements for three dimensional skull[J]. Journal of Applied Sciences, 10, 145-150(2010).

    [15] Duan F Q, Yang Y C, Li Y et al. Skull identification via correlation measure between skull and face shape[J]. IEEE Transactions on Information Forensics and Security, 9, 1322-1332(2014).

    [16] Sun J, Ovsjanikov M, Guibas L. A concise and provably informative multi-scale signature based on heat diffusion[J]. Computer Graphics Forum, 28, 1383-1392(2009).

    [17] Bronstein M M, Kokkinos I. Scale-invariant heat kernel signatures for non-rigid shape recognition[C], 1704-1711(2010).

    [18] Raviv D, Bronstein M M, Bronstein A M et al. Volumetric heat kernel signatures[C], 39-44(2010).

    [19] Aubry M, Schlickewei U, Cremers D. The wave kernel signature: a quantum mechanical approach to shape analysis[C], 1626-1633(2011).

    [20] Elad A, Kimmel R. On bending invariant signatures for surfaces[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25, 1285-1295(2003).

    [21] Lipman Y, Rustamov R M, Funkhouser T A. Biharmonic distance[J]. ACM Transactions on Graphics, 29, 27(2010).

    [22] Yi Y H, Yang B J, Zhang Z Z et al. Biharmonic distance and performance of second-order consensus networks with stochastic disturbances[C], 4943-4950(2018).

    [23] Carsten M, Neil D. Fast marching farthest point sampling: UCAM-CL-TR-562[R], 562(2003).

    [24] Borg I, Groenen P. Modern multidimensional scaling: theory and applications[J]. Journal of Educational Measurement, 40, 277-280(2003).

    [25] Park I K, Lee K M, Lee S U. Efficient measurement of shape dissimilarity between 3D models using Z-buffer and surface roving method[J]. EURASIP Journal on Advances in Signal Processing, 2002, 1-8(2002).

    [26] Su H, Maji S, Kalogerakis E et al. Multi-view convolutional neural networks for 3D shape recognition[C], 945-953(2015).

    [27] Hardoon D R, Szedmak S, Shawe-Taylor J. Canonical correlation analysis: an overview with application to learning methods[J]. Neural Computation, 16, 2639-2664(2004).

    [28] Andrew G, Arora R, Bilmes J et al. Deep canonical correlation analysis[C], 2284-2292(2013).

    [29] Yang W, Liu X N, Zhu F et al. Determination of sex discriminant function analysis in Chinese human skulls[M]. Zhou J, Wang Y H, Sun Z A, et al. Biometric recognition. Lecture notes in computer science, 10966, 589-598(2018).

    [30] Xiong Z B. Study on skull recognition based on 2DPCA[J]. Journal of Taishan University, 34, 48-53(2012).

    [31] Ma Z T. Research on technology of skull identification[D](2012).

    [32] Zhou M Q, Yang W, Lin P Y et al. Skull identification based on least square canonical correlation analysis[J]. Optics and Precision Engineering, 29, 201-210(2021).

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    Wen Yang, Mingquan Zhou, Guohua Geng, Xiaoning Liu. Skull Identification Method Based on Fusion of View and Shape Features[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1010011

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    Paper Information

    Category: Image Processing

    Received: Dec. 30, 2021

    Accepted: Feb. 25, 2022

    Published Online: May. 17, 2023

    The Author Email: Geng Guohua (nwuggh@163.com)

    DOI:10.3788/LOP213393

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