基于无监督级联的亚像素单应矩阵估计
[1] Zhao Q, Ma Y, Zhu C, et al. Image stitching via deep homography estimation[J]. Neurocomputing, 2021, 450: 219-229.
[2] Mur-Artal R, Montiel J M M, Tardos J D. ORB-SLAM: A versatile and accurate monocular SLAM system[J]. IEEE Trans. on Robotics, 2015, 31(5): 1147-1163.
[3] 鲁 甜, 刘 蓉, 刘 明, 等. 基于特征图注意力机制的图像超分辨率重建[J]. 计算机工程, 2021, 47(3): 261-268.
[4] Wu R, Xu Z, Zhang J, et al. Robust global motion estimation for video stabilization based on improved K-means clustering and superpixel[J]. Sensors, 2021, 21(7): 2505.
[5] 张墨华, 彭建华. 面向图像先验建模的可扩展高斯混合模型[J]. 计算机工程, 2020, 46(4): 220-227.
[6] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. Inter. J. of Computer Vision, 2004, 60(2): 91-110.
[7] Rublee E, Rabaud V, Konolige K, et al. ORB: an efficient alternative to SIFT or SURF[C]// IEEE Inter. Conf. on Computer Vision, 2011.
[8] Szeliski R. Image alignment and stitching: A tutorial[J]. Foundations and Trends in Computer Graphics and Vision, 2006, 2(1): 1-104.
[9] Fischler M A, Bolles R C. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography-ScienceDirect[J]. Readings in Computer Vision, 1987: 726-740.
[10] Detone D, Malisiewicz T, Rabinovich A. Deep image homography estimation[J]. RSS Workshop on Limits and Potentials of Deep Learning in Robotics, 2016: arXiv: 1606.03798.
[11] Japkowicz N, Nowruzi F E, Laganiere R. Homography estimation from image pairs with hierarchical convolutional networks[C]// The IEEE Inter. Conf. on Computer Vision (ICCV), 2017.
[12] Nguyen T, Chen S W, Shivakumar S S, et al. Unsupervised deep homography: A fast and robust homography estimation model[J]. IEEE Robotics and Automation Letters, 2017: arXiv: 1709.03966.
[13] 郭孟夏. 一种基于深度学习的视频单应性估计算法[J]. 现代计算机, 2021, 2(6): 5-10.
[14] Lin T Y, Maire M, Belongie S, et al. Microsoft COCO: Common objects in context[C]// European Conf. on Computer Vision, 2014.
[15] Andrew A M. Multiple View Geometry in Computer Vision[M]. Cambridge: Kybernetes, 2001.
[16] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation[C]//Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition, 2015: 3431-3440.
[17] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[J]. Computer Science, 2014: arXiv: 1409.1556.
[18] Zhang J, Wang C, Liu S, et al. Content-aware unsupervised deep homography estimation[J]. Springer, 2020: arXiv: 1909.05983.
[19] Jaderberg M, Simonyan K, Zisserman A. Spatial transformer networks[J]. Advances in Neural Information Processing Systems, 2015, 28: 2017-2025.
[20] Paszke A, Gross S, Chintala S, et al. Automatic differentiation in PyTorch[C]// 31st Conf. on Neural Information Proc. Systems, 2017.
吴柔莞, 徐智勇, 张建林. 基于无监督级联的亚像素单应矩阵估计[J]. 半导体光电, 2022, 43(1): 158. WU Rouwan, XU Zhiyong, ZHANG Jianlin. Sub-pixel Homography Matrix Estimation Based on Unsupervised Cascade[J]. Semiconductor Optoelectronics, 2022, 43(1): 158.