激光与光电子学进展, 2019, 56 (14): 141502, 网络出版: 2019-07-12   

改进的尺度不变特征变换算法并行加速双目测距系统及其实现 下载: 1100次

Research and Implementation of Binocular Distance Measurement System Based on Improved Scale-Invariant Feature Transform Algorithm with Parallel Acceleration
作者单位
1郑州商学院通识教育中心, 河南 巩义 451200
引用该论文

张志强, 施文华. 改进的尺度不变特征变换算法并行加速双目测距系统及其实现[J]. 激光与光电子学进展, 2019, 56(14): 141502.

Zhiqiang Zhang, Wenhua Shi. Research and Implementation of Binocular Distance Measurement System Based on Improved Scale-Invariant Feature Transform Algorithm with Parallel Acceleration[J]. Laser & Optoelectronics Progress, 2019, 56(14): 141502.

参考文献

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

[2] 邓伯胜. SIFT算法GPU并行化研究[J]. 现代计算机, 2017( 9): 54- 57.

    Deng BS. An improved algorithm of the screen space ambient occlusion[J]. Modern Computer, 2017( 9): 54- 57.

[3] 傅卫平, 秦川, 刘佳, 等. 基于SIFT算法的图像目标匹配与定位[J]. 仪器仪表学报, 2011, 32(1): 163-169.

    Fu W P, Qin C, Liu J, et al. Matching and location of image object based on SIFT algorithm[J]. Chinese Journal of Scientific Instrument, 2011, 32(1): 163-169.

[4] 庞瑞, 徐昌荣. 遥感影像SIFT特征匹配的并行实现及优化[J]. 江西理工大学学报, 2016, 37(5): 28-33.

    Pang R, Xu C R. Parallel implementation and optimization of remote sensing image matching based on SIFT feature[J]. Journal of Jiangxi University of Science and Technology, 2016, 37(5): 28-33.

[5] 王蓓蕾, 朱志良, 孟琭. 基于CUDA加速的SIFT特征提取[J]. 东北大学学报(自然科学版), 2013, 34(2): 200-204.

    Wang B L, Zhu Z L, Meng L. CUDA-based acceleration algorithm of SIFT feature extraction[J]. Journal of Northeastern University(Natural Science), 2013, 34(2): 200-204.

[6] 赵鹏, 严明, 李思昆. 异构多处理器SoC的应用算法性能优化方法[J]. 软件学报, 2011, 22(7): 1475-1487.

    Zhao P, Yan M, Li S K. Performance optimization of application algorithms for heterogeneous multi-processor system-on-chips[J]. Journal of Software, 2011, 22(7): 1475-1487.

[7] 冯颖, 袁庆华, 沈健炜. 基于CPU+GPU异构计算的编程方法研究[J]. 通信技术, 2011, 44(2): 141-143.

    Feng Y, Yuan Q H, Shen J W. Study on programming mothods based on CPU+GPU hybird computing[J]. Communications Technology, 2011, 44(2): 141-143.

[8] 姜超, 耿则勋, 娄博, 等. 基于GPU的SIFT特征匹配算法并行处理研究[J]. 计算机科学, 2013, 40(12): 295-297, 307.

    Jiang C, Geng Z X, Lou B, et al. Parallel processing research on SIFT feature matching algorithm based on GPU[J]. Computer Science, 2013, 40(12): 295-297, 307.

[9] 蒋丽媛. 基于OpenCL的图像匹配算法并行与性能优化研究[D]. 北京: 中国科学院大学, 2013: 23- 35.

    Jiang LY. Research on image matching functions performance optimization using OpenCL[D]. Beijing: University of Chinese Academy of Sciences, 2013: 23- 35.

[10] 彭新显. 基于OpenCL并行加速算法研究及其FPGA实现[D]. 武汉: 武汉工程大学, 2014: 17- 27.

    Peng XX. Research on parallel accelerating algorithm based on OpenCL and realization on FPGA[D]. Wuhan: Wuhan Institute of Technology, 2014: 17- 27.

[11] 肖汉, 郭运宏, 周清雷. 面向CPU+GPU异构计算的SIFT特征匹配并行算法[J]. 同济大学学报(自然科学版), 2013, 41(11): 1732-1737.

    Xiao H, Guo Y H, Zhou Q L. Parallel algorithm of CPU and GPU-oriented heterogeneous computation in SIFT feature matching[J]. Journal of Tongji University(Natural Science), 2013, 41(11): 1732-1737.

[12] 许川佩, 王光. 基于OpenCL的尺度不变特征变换算法的并行设计与实现[J]. 计算机应用, 2016, 36(7): 1801-1806.

    Xu C P, Wang G. Parallel design and implementation of scale invariant feature transform algorithm based on OpenCL[J]. Journal of Computer Applications, 2016, 36(7): 1801-1806.

[13] 李千, 尹业安. 基于双目摄像的测距系统及立体匹配算法研究[J]. 通信电源技术, 2016, 33(2): 66-67.

    Li Q, Yin Y A. Research on ranging system and stereo matching algorithm based on binocular camera[J]. Telecom Power Technology, 2016, 33(2): 66-67.

[14] 李士玺. 一种利用图像上目标物视差进行测距的方法与实验[D]. 北京: 北京理工大学, 2015: 21- 26.

    Li SX. A method and experiment for measuring distance of object parallax from image[D]. Beijing: Beijing Institute of Technology, 2015: 21- 26.

[15] 王代东. 基于双目视觉的测距方法研究与应用[D]. 重庆: 重庆理工大学, 2016: 37- 41.

    Wang DD. Research and application of the method to distance measurement based on binocular vision[D]. Chongqing: Chongqing University of Technology, 2016: 37- 41.

[16] 孙吉贵, 刘杰, 赵连宇. 聚类算法研究[J]. 软件学报, 2008, 19(1): 48-61.

    Sun J G, Liu J, Zhao L Y. Clustering algorithms research[J]. Journal of Software, 2008, 19(1): 48-61.

[17] 邵暖, 李惠光, 刘乐. 基于特征匹配算法的双目视觉测距[J]. 燕山大学学报, 2012, 36(1): 57-61.

    Shao N, Li H G, Liu L. Binocular stereo distance-measurement method based on feature matching algorithm[J]. Journal of Yanshan University, 2012, 36(1): 57-61.

[18] 张鑫, 靳雁霞, 薛丹. SICA-SIFT和粒子群优化的图像匹配算法[J]. 激光与光电子学进展, 2017, 54(9): 091002.

    Zhang X, Jin Y X, Xue D. Image matching algorithm based on SICA-SIFT and particle swarm optimization[J]. Laser & Optoelectronics Progress, 2017, 54(9): 091002.

[19] 蒋晓东, 于纪言, 朱立坤, 等. 基于硬件SURF算法的自校准双目测距系统[J]. 光学学报, 2018, 38(10): 1036001.

    Jiang X D, Yu J Y, Zhu L K, et al. Self-calibrated binocular ranging system based on hardware SURF algorithm[J]. Acta Optica Sinica, 2018, 38(10): 1036001.

[20] 袁瑞峰, 刘明, 惠梅, 等. 基于双目视觉的深度图拼接[J]. 激光与光电子学进展, 2018, 55(12): 121013.

    Yuan R F, Liu M, Hui M, et al. Depth map stitching based on binocular vision[J]. Laser & Optoelectronics Progress, 2018, 55(12): 121013.

[21] 刘远远, 冯鹏, 龙邹荣, 等. 基于靶标区域分割的双目定位系统研究与实现[J]. 激光与光电子学进展, 2018, 55(5): 051102.

    Liu Y Y, Feng P, Long Z R, et al. Research and implementation of binocular location system based on region of interest segmentation[J]. Laser & Optoelectronics Progress, 2018, 55(5): 051102.

[22] de Arruda G F, da Fontoura Costa L, Rodrigues F A. A complex networks approach for data clustering[J]. Physica A: Statistical Mechanics and its Applications, 2012, 391(23): 6174-6183.

[23] 占正锋. 基于GPU的SIFT立体匹配算法研究[D]. 哈尔滨: 哈尔滨工业大学, 2014: 53- 61.

    Zhan ZF. Research of SIFT stereo matching algorithm based on GPU[D]. Harbin: Harbin Institute of Technology, 2014: 53- 61.

张志强, 施文华. 改进的尺度不变特征变换算法并行加速双目测距系统及其实现[J]. 激光与光电子学进展, 2019, 56(14): 141502. Zhiqiang Zhang, Wenhua Shi. Research and Implementation of Binocular Distance Measurement System Based on Improved Scale-Invariant Feature Transform Algorithm with Parallel Acceleration[J]. Laser & Optoelectronics Progress, 2019, 56(14): 141502.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!