Optics and Precision Engineering, Volume. 26, Issue 7, 1774(2018)

A terracotta image partition matching method based on learned invariant feature transform

FENG Jun... YAN Yu-yu, ZHAO Yan, XIAO Fang and LIU Xiao-ning |Show fewer author(s)
Author Affiliations
  • [in Chinese]
  • show less
    References(21)

    [1] [1] ZHANG J. Study and application of three-dimensional reconstruction technology of site scene based on laser scanning data[D]. Northwest University, 2012. (in Chinese)

    [2] [2] PENG Y, YAO X W, HU Y J. The application research of 3D laser scanning technology on rockyhistorical relics conservation[J]. Urban Geotechnical Investigation & Surveying, 2016(3): 97-100.(in Chinese)

    [3] [3] JIA Q, GAO X K, LUO ZH X, et al.. Feature points matching based on geometric constraints[J].Journal of Computer-Aided Design & Computer Graphics, 2015, 27 (8): 1388-1397. (in Chinese)

    [4] [4] LOWE D G, LOWE D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.

    [5] [5] BAY H, ESS A, TUYTELAARS T, et al.. Speeded-up robust features[J]. Computer Vision & Image Understanding, 2008, 110(3): 404-417.

    [6] [6] TOLA E, LEPETIT V, FUA P. A fast local descriptor for dense matching[C].Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. IEEE, 2008: 1-8.

    [7] [7] RUBLEE E, RABAUD V, KONOLIGE K, et al.. ORB: An efficient alternative to SIFT or SURF[J]. 2011, 58(11): 2564-2571.

    [8] [8] MAINALI P, LAFRUIT G, TACK K, et al.. Derivative-based scale invariant image feature detector with error resilience[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 2014, 23(5): 2380.

    [9] [9] ZHANG Y GENG G H.Feature points matching of terracotta warrior images based on condition number constraint[J]. Journal of Yunnan University(Natural Sciences Edition), 2017, 39(4): 547-553. (in Chinese)

    [10] [10] FENG H W, ZHOU Y P, FENG J, et al..Estimation of fundamental matrix from multi-prespective views for 3D reconstruction[J]. Opt. Precision Eng., 2016, 24(10s): 567-574.

    [12] [12] ZHOU M.Study on Application of Qins Terra Cotta Warriors Image in Modern Animation Design[D]. Xian University of Architecture and Technology, 2013. (in Chinese)

    [13] [13] YI K M, TRULLS E, LEPETIT V, et al.. LIFT: learned invariant feature transform[J]. 2016: 467-483.

    [14] [14] HE K, ZHANG X, REN S, et al.. Deep residual learning for image recognition[C].Computer Vision and Pattern Recognition. IEEE, 2016: 770-778.

    [16] [16] MENG J M. Qin Terracotta Hundred Questions[M]. Xian: Northwestern University Press, 1997: 68-69.(in Chinese)

    [18] [18] LI D, ZHU L L, HU Y S.Fast matching algorithm of multi-view feature points based on minimal spanning tree[J]. Journal of Huazhong University of Science and Technology(Nature Science Edition), 2017, 45(1): 41-45.(in Chinese)

    [20] [20] COSTANZO A, AMERINI I, CALDELLI R, et al.. Forensic analysis of SIFT keypoint removal and injection[J]. IEEE Transactions on Information Forensics & Security, 2014, 9(9): 1450-1464.

    [21] [21] HOSSEIN-NEJAD Z, NASRI M. An adaptive image registration method based on SIFT features and RANSAC transform[J]. Computers & Electrical Engineering, 2016.

    CLP Journals

    [1] SHA Ou, L Yuan-zhi, LING Jian-yong, ZHANG Yao-yu, FU Han-yi. Color restoration of object surface point cloud in three-dimensional laser scanning system[J]. Optics and Precision Engineering, 2020, 28(10): 2158

    [2] LI Hai-chao, LI Ying, GU Zheng. Stereo matching method for lunar rover using the plane constraint[J]. Optics and Precision Engineering, 2019, 27(2): 433

    [3] SHA Ou, L Yuan-zhi, LING Jian-yong, ZHANG Yao-yu, FU Han-yi. Color restoration of object surface point cloud in three-dimensional laser scanning system[J]. Optics and Precision Engineering, 2020, 28(10): 2158

    [4] Liu Pengfei, Zhao Huaici, Cao Feidao. Blind deblurring of noisy and blurry images of multi-scale convolutional neural network[J]. Infrared and Laser Engineering, 2019, 48(4): 426001

    Tools

    Get Citation

    Copy Citation Text

    FENG Jun, YAN Yu-yu, ZHAO Yan, XIAO Fang, LIU Xiao-ning. A terracotta image partition matching method based on learned invariant feature transform[J]. Optics and Precision Engineering, 2018, 26(7): 1774

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Nov. 27, 2017

    Accepted: --

    Published Online: Oct. 2, 2018

    The Author Email:

    DOI:10.3788/ope.20182607.1774

    Topics