Computer Science ›› 2016, Vol. 43 ›› Issue (6): 10-16.doi: 10.11896/j.issn.1002-137X.2016.06.002
Previous Articles Next Articles
ZHAO Xia, YUAN Jia-zheng and LIU Hong-zhe
[1] Yun D.Machine vision[M].Beijing:Science Press,2000(in Chinese) 云得.机器视觉[M].北京:科学出版社,2000 [2] Mobus R,Joos A,Kolbe U.Multi-target multi-object radar tra-cking[C]∥Proceedings of Intelligent Vehicles Symposium,2003.IEEE,2003:489-494 [3] Wang J,Gao F,Shi S,et al.A New Method for Distance andRelative Velocity Measurement in Vehicle Collision Warning System[C]∥Sixth International Conference on Intelligent Systems Design and Applications,2006(ISDA’06).IEEE,2006,1:1142-1147 [4] Chen Y,Wang C.Vehicle Safety Distance Warning System:A Novel Algorithm for Vehicle Safety Distance Calculating Between Moving Cars[C]∥IEEE 65th Vehicular Technology Conference,2007(VTC2007-Spring).IEEE,2007:2570-2574 [5] Lim Y,Lee C,Kwon S,et al.Distance estimation algorithm for both long and short ranges based on stereo vision system[C]∥Intelligent Vehicles Symposium,2008.IEEE,2008:841-846 [6] Fishler M,Bollers R.Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J].Communications of the ACM,1981,4(6):381-395 [7] Hu Z Y,Lei C,Wu F C.A short note on p4p problem[J].Acta Automatica Sinica,2001,7(6):770-776(in Chinese) 胡占义,雷成,吴福朝.关于P4P问题的一点讨论[J].自动化学报,2001,27(6):770-776 [8] Liu Y,Huang T,Faugeras O.Determination of camera location from 2-D to 3-D line and point correspondences[J].IEEE Tran-sactions on Pattern Analysis and Machine Intelligence,1990,12(1):28-37 [9] Chen H.Pose determination from line to plane correspondences:existence solution and closed form solutions[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1993,3(6):530-541 [10] Yu Y,Guo L.Target passive location method based on line feature[J].Opto-Electronic Engineering,2009,36(1):41-46(in Chinese) 于勇,郭雷.基于特征直线的目标被动定位方法[J].光电工程,2009,36(1):41-46 [11] Han L W,Xu D.A Visual Dead Reckoning Positioning Method Based on Lines and Single Feature Point for Mobile Robot [J].Robot,2008 (1):79-84(in Chinese) 韩立伟,徐德.基于直线和单特征点的移动机器人视觉推算定位法[J].机器人,2008 (1):79-84 [12] Qin L J,Hu Y L,Wei Y Z,et al.A algorithm for vision location based on plane quadrangle[J].Transactions of Shenyang Ligong University,2009,28(2):66-69(in Chinese) 秦丽娟,胡玉兰,魏英姿,等.一种基于平面四边形的视觉定位算法[J].沈阳理工大学学报,2009,28(2):66-69 [13] Zhang L,Xu K J,Zhao R,et al.Improvement of position and orien-tation measurement algorithm of monocular vision based on circle features [J].Journal of Hefei University of Technology (Natural Science),2009,32(11):1669-1673(in Chinese) 张磊,徐科军,赵锐,等.一种基于圆特征的单目视觉位姿测量算法的改进[J].合肥工业大学学报(自然科学版),2009,32(11):1669-1673 [14] Zhang G J,Zhou F Q.Position and Orientation Estimation Me-thod for Landing of Unmanned Aerial Vehicle with Two Circle Based Computer Vision[J].Acta Aeronautica Et Astronautica Sinica,2005,6(3):344-347(in Chinese) 张广军,周富强.基于双圆特征的无人机着陆位置姿态视觉测量方法[J].航空学报,2005,6(3):344-347 [15] Sun F M,Wang W N.Pose determination from a single image ofa single parallelogram[J].Acta Automatica Sinica,2006,32(5):746-752(in Chinese) 孙凤梅,王卫宁.基于单个平行四边形单幅图像的物体定位[J].自动化学报,2006,32(5):746-752 [16] Wang J,Zhao Y.Target spatialization algorithm based on single image[J].Journal of Hebei University of Science and Technology,2011,32(4):347-350(in Chinese) 王娟,赵艳.基于单幅图像目标空间定位的算法研究[J].河北科技大学学报,2011,32(4):347-350 [17] Wang X J,Pan S L,Qiu L W,et al.Analytic algorithm of pose estimation based on two pairs of parallel lines[J].Chinese Journal of Scientific Instrument,2008,29(3):600-604(in Chinese) 王晓剑,潘顺良,邱力为,等.基于双平行线特征的位姿估计解析算法[J].仪器仪表学报,2008,29(3):600-604 [18] Zheng Q X.Object recognition and localization based on mococular vision[D].Jinan:Shandong University,2013(in Chinese) 郑全新.基于单目视觉的目标识别与定位[D].济南:山东大学,2013 [19] Ren Q Y,Li P,Han B.Vision-based mini unmanned helicopter pose and position estimation[J].Journal of Zhejiang University (Engineering Science),2009,43(1):18-22(in Chinese) 任沁源,李平,韩波.基于视觉信息的微型无人直升机位姿估计[J].浙江大学学报(工学版),2009,43(1):18-22 [20] Harris C,Stephens M.A combined corner and edge detector[C]∥Alvey Vision Conference.1988,15:50 [21] Jiang Y,Xu Y,Liu Y.Performance evaluation of feature detection and matching in stereo visual odometry[J].Neurocompu-ting,2013,120:380-390 [22] Luo G E.Some issues of depth peception and three dimention reconstruction from binocular stereo vision[D].Changsha:Central South University,2012(in Chinese) 罗桂娥.双目立体视觉深度感知与三维重建若干问题研究[D].长沙:中南大学,2012 [23] Lindeberg T.Feature detection with automatic scale selection[J].International Journal of Computer Vision,1998,0(2):79-116 [24] Lindeberg T.Edge detection and ridge detection with automatic scale selection[J].International Journal of Computer Vision,1998,0(2):117-156 [25] Mikolajczyk K,Schmid C.Scale and affine invariant interestpoint detectors[J].International Journal of Computer Vision,2004,0(1):63-66 [26] Cheng B S,Tang X W.Study of Harris scale invariant keypoint detector[J].Journal of Zhejiang University (Engineering Science),2009,43(5):855-859(in Chinese) 程邦胜,唐孝威.Harris尺度不变性关键点检测子的研究[J].浙江大学学报(工学版),2009,3(5):855-859 [27] Meng H,Cheng K.Object location technique for binocular stereo vision based on scale invariant feature transform feature points[J].Journal of Harbin Engineering University,2009(6):649-652(in Chinese) 孟浩,程康.基于 SIFT 特征点的双目视觉定位[J].哈尔滨工程大学学报,2009(6):649-652 [28] Lowe D.Object recognition from local scale-invariant features[C]∥The proceedings of the seventh IEEE International Conference on Computer Vision,1999.IEEE,1999,2:1150-1157 [29] Lowe D.Distinctive image features from scale-invariant key-points[J].International Journal of Computer Vision,2004,60(2):91-110 [30] Wang C,Sun Y.A new method of depth measurement with bino-cular vision based on surf[C]∥Second International Workshop on Computer Science and Engineering,2009(WCSE’09).IEEE,2009,1:568-571 [31] Bay H,Tuytelaars T,Van Gool L.Surf:Speeded up robust features[M]∥Computer Vision-ECCV 2006.Springer Berlin Heidelberg,2006:404-417 [32] Mammeri A,Boukerche A,Zhao M.Keypoint-based binoculardistance measurement for pedestrian detection system[C]∥Proceedings of the fourth ACM International Symposium on Deve-lopment and Analysis of Intelligent Vehicular Networks and Applications.ACM,2014:9-15 [33] Bhowmick B,Bhadra S,Sinharay A.Stereo vision based pedestrians detection and distance measurement for automotive application[C]∥ 2011 Second International Conference on Intelligent Systems,Modelling and Simulation (ISMS).IEEE,2011:25-29 [34] Ming Z H.Research on binocular stereo vison ranging algo-rithms[D].Beijing:Beijing Institute of Technology,2008(in Chinese) 明祖衡.双目立体视觉测距算法研究[D].北京:北京理工大学,2008 [35] Zheng X D,Zhao J W,Liu M H.Tomatoes recognition and loca-tion from nature background based on binocular stereo vision[J].Com-puter Engineering,2005,30(22):155-156(in Chinese) 郑小东,赵杰文,刘木华.基于双目立体视觉的番茄识别与定位技术[J].计算机工程,2005,30(22):155-156 [36] Xiang R,Ying Y B,Jiang H Y,et al.Localization of tomatoes based on binocular stereo vision[J].Transactions of the Chinese Society of Agricultural Engineering,2012,28(5):161-167(in Chinese) 项荣,应义斌,蒋焕煜,等.基于双目立体视觉的番茄定位[J].农业工程学报,2012,28(5):161-167 [37] Zhang Z,Deriche R,Faugeras O,et al.A robust technique for matching two uncalibrated images throuth the recovery of the unknown epipolar geometry[J].International Journal of Artificial Intelligence,1995,8(1/2):87-119 [38] Yu Q X.Research on mobile localization techniques for wheeled restaurant service robots[D].Shanghai:Shanghai Jiaotong University,2013(in Chinese) 于清晓.轮式餐厅服务机器人移动定位技术研究[D].上海:上海交通大学,2013 [39] Kanade T,Kano H,Kimura S,et al.Development of a video-rate stereo machine[C]∥ 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems 95.IEEE,1995,3:95-100 [40] Jiang H Y,Peng Y S,Ying Y B.Binocular stereo vision applied to harvesting robots[J].Journal of Jiangsu University (Natural Science Edition),2008,29(5):377-380(in Chinese) 蒋焕煜,彭永石,应义斌.双目立体视觉技术在果蔬采摘机器人中的应用[J].江苏大学学报(自然科学版),2008,29(5):377-380 [41] Li H,Chen Y L,Chang T,et al.Binocular vision positioning for robot grasping[C]∥2011 IEEE International Conference on Robotics and Biomimetics (ROBIO).IEEE,2011:1522-1527 [42] Guo B,Sun J,Wei Y,et al.Kinect identity:Technology and experience[J].Computer,2011,44(4):94-96 [43] Dong J M,Chen W H,Yue H S,et al.Automatic recognition and location of tomatoes based on Kinect vision system[J].Chinese Journal of Agricultural Mechanization,2014,35(4):169-173(in Chinese) 董建民,陈伟海,岳昊嵩,等.基于 Kinect 视觉系统的西红柿自动识别与定位[J].中国农机化学报,2014,35(4):169-173 [44] Figueroa J,Contreras L,Pacheco A,et al.Development of an Object Recognition and Location System Using the Microsoft KinectTM Sensor[M]∥RoboCup 2011:Robot Soccer World Cup XV.2012:440-449 [45] Zhang H,Yan R J,Zhou W S,et al.Binocular Vision Sensor (Kinect)-Based Pedestrian Following Mobile Robot[J].Applied Mechanics and Materials,2014,670:1326-1329 [46] Nakano Y,Izutsu K,Tajitsu K,et al.Kinect Positioning System (KPS) and its potential applications[C]∥International Confe-rence on Indoor Positioning and Indoor Navigation.2012 [47] Wang S,Pan H,Zhang C,et al.RGB-D image-based detection of stairs,pedestrian crosswalks and traffic signs[J].Journal of Vi-sual Communication and Image Representation,2014,25(2):263-272 [48] Premebida C,Carreira J,Batista J,et al.Pedestrian detectioncombining RGB and dense LIDAR data[C]∥2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014).IEEE,2014:4112-4117 [49] Yagi Y,Yachida M.Real-time generation of environmental map and obstacle avoidance using omnidirectional image sensor with conic mirror[C]∥IEEE Computer Society Conference on Computer Vision and Pattern Recognition,1991.IEEE,1991:160-165 [50] Yamazawa K,Yagi Y,Yachida M.Obstacle detection with omni-directional image sensor hyperomni vision[C]∥Proceedings of 1995 IEEE International Conference on Robotics and Automation,1995.IEEE,1995,1:1062-1067 [51] Huo Z H.Omnidirectional vision based human detection and localization in complex environments[D].Beijing:Peking University,2010(in Chinese) 霍振华.基于全方位视觉的复杂环境下人体目标检测与定位[D].北京:北京大学,2010 |
No related articles found! |
|