[1] |
赵向阳, 杜利民. 一种全自动稳健的图像拼接融合算法[J]. 中国图象图形学报: A 辑, 2004, 9(4): 417-422.ZHAO Xiangyang, DU Limin. An automatic robust mosaic algorithm[J]. Journal of Image and Graphics, 2004, 9(4): 417-422.
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[2] |
WANG Y T, FENG Y C. Data association and map management for robot SLAM using local invariant features[C]// International Conference on Mechatronics and Automation. Takamatsu, Japan: IEEE, 2013: 1102-1107.
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[3] |
BAY H, TUYTELAARS T, VAN GOOL L. Surf: Speeded up robust features[J]. Computer Vision & Image Understanding, 2006, 110(3): 404-417.
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[4] |
LEUTENEGGER S, CHLI M, SIEGWART R Y. BRISK: Binary robust invariant scalable key points[C]// Proceedings of the International Conference on Computer Vision. Washington: IEEE, 2011: 2548-2555.
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[5] |
赵春阳, 赵怀慈. SURF 算法并行优化及硬件实现[J]. 计算机辅助设计与图形学学报, 2015, 27(2): 256-263.ZHAO Chunyang, ZHAO Huaici. Parallel optimized method and hardware implementation of SURF algorithm[J]. Journal of Computer-Aided Design & Computer Graphics, 2015, 27(2): 256-263.
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[6] |
SVAB J, KRAJNIK T, FAIGL J, et al. FPGA based speeded up robust features[C]// Proceedings of the International Conference on Technologies for Practical Robot Applications. Woburn, USA: IEEE, 2009: 35-41.
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[7] |
刘金硕, 曾秋梅, 邹斌, 等. 快速鲁棒特征算法的 CUDA 加速优化[J]. 计算机科学, 2014, 41(4): 24-27.LIU Jinshuo, ZENG Qiumei, ZOU Bin, et al. Speed-up robust feature image registration algorithm based on CUDA[J]. Computer Science, 2014, 41(4): 24-27.
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[8] |
徐晶, 曾苗祥, 许炜. 基于 GPU 的图片特征提取与检测[J]. 计算机科学, 2014, 41(7): 157-161.XU Jing, ZENG Miaoxiang, XU Wei. GPU based image feature extraction and detection[J]. Computer Science, 2014, 41(7): 157-161.
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[9] |
SINHA S N, FRAHM J M, POLLEFEYS M, et al. GPU-based video feature tracking and matching[R]. MSR-TR-2016-19, Workshop on Edge Computing Using New Commodity Architectures, 2006.
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[10] |
CAO J, XIE X F, LIANG J, et al. GPU accelerated target tracking method[J]. Advances in Multimedia, Software Engineering and Computing, 2012, 1: 251-257.
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[11] |
Khronos OpenCL Working Group. The OpenCL Specification Version1.2[EB/OL]. [2017-10-18]https://www.khronos.org/registry/OpenCL/specs/opencl-1.2.pdf.
|
[1] |
赵向阳, 杜利民. 一种全自动稳健的图像拼接融合算法[J]. 中国图象图形学报: A 辑, 2004, 9(4): 417-422.ZHAO Xiangyang, DU Limin. An automatic robust mosaic algorithm[J]. Journal of Image and Graphics, 2004, 9(4): 417-422.
|
[2] |
WANG Y T, FENG Y C. Data association and map management for robot SLAM using local invariant features[C]// International Conference on Mechatronics and Automation. Takamatsu, Japan: IEEE, 2013: 1102-1107.
|
[3] |
BAY H, TUYTELAARS T, VAN GOOL L. Surf: Speeded up robust features[J]. Computer Vision & Image Understanding, 2006, 110(3): 404-417.
|
[4] |
LEUTENEGGER S, CHLI M, SIEGWART R Y. BRISK: Binary robust invariant scalable key points[C]// Proceedings of the International Conference on Computer Vision. Washington: IEEE, 2011: 2548-2555.
|
[5] |
赵春阳, 赵怀慈. SURF 算法并行优化及硬件实现[J]. 计算机辅助设计与图形学学报, 2015, 27(2): 256-263.ZHAO Chunyang, ZHAO Huaici. Parallel optimized method and hardware implementation of SURF algorithm[J]. Journal of Computer-Aided Design & Computer Graphics, 2015, 27(2): 256-263.
|
[6] |
SVAB J, KRAJNIK T, FAIGL J, et al. FPGA based speeded up robust features[C]// Proceedings of the International Conference on Technologies for Practical Robot Applications. Woburn, USA: IEEE, 2009: 35-41.
|
[7] |
刘金硕, 曾秋梅, 邹斌, 等. 快速鲁棒特征算法的 CUDA 加速优化[J]. 计算机科学, 2014, 41(4): 24-27.LIU Jinshuo, ZENG Qiumei, ZOU Bin, et al. Speed-up robust feature image registration algorithm based on CUDA[J]. Computer Science, 2014, 41(4): 24-27.
|
[8] |
徐晶, 曾苗祥, 许炜. 基于 GPU 的图片特征提取与检测[J]. 计算机科学, 2014, 41(7): 157-161.XU Jing, ZENG Miaoxiang, XU Wei. GPU based image feature extraction and detection[J]. Computer Science, 2014, 41(7): 157-161.
|
[9] |
SINHA S N, FRAHM J M, POLLEFEYS M, et al. GPU-based video feature tracking and matching[R]. MSR-TR-2016-19, Workshop on Edge Computing Using New Commodity Architectures, 2006.
|
[10] |
CAO J, XIE X F, LIANG J, et al. GPU accelerated target tracking method[J]. Advances in Multimedia, Software Engineering and Computing, 2012, 1: 251-257.
|
[11] |
Khronos OpenCL Working Group. The OpenCL Specification Version1.2[EB/OL]. [2017-10-18]https://www.khronos.org/registry/OpenCL/specs/opencl-1.2.pdf.
|