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비전기반 조작기술 연구 동향 / 이석한 ; 이유부 1

1. 서론 1

2. 기술동향 1

2.1. 3차원 물체인식과 자세추정 기술 2

2.2. 3차원 작업환경 모델링 기술 4

2.3. Bin-Picking 기술 6

2.4. 조작 기술 7

3. 결론 11

참고문헌 12

[저자소개] 15

권호기사

권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 목차
Embedded Computer Vision 관련 연구 동향 진승훈 ;전재욱 pp.7-15

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로봇 비전 기반 제스처 인식 연구 동향 조성식 ;석흥일 ;이성환 pp.16-23

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물체 인식 연구 동향 김동환 ;박성기 pp.24-31

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비전기반 조작기술 연구 동향 이석한 ;이유부 pp.32-46

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Vision-based Navigation 연구 동향 윤석준 ;박성기 pp.47-58

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일본 AIST 로봇 연구부문 소개 곽노산 ;Yokoi Kazuhito pp.59-64

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URAI2009 참관기 강철구 pp.65-67

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권두언 : 새로운 도약을 위한 힘찬 발걸음 이장명 pp.3-4

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특집 [로봇비전 응용]에 관하여 박성기 pp.5-6

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참고문헌 (52건) : 자료제공( 네이버학술정보 )

참고문헌 목록에 대한 테이블로 번호, 참고문헌, 국회도서관 소장유무로 구성되어 있습니다.
번호 참고문헌 국회도서관 소장유무
1 Real-time visual tracking of complex structures 네이버 미소장
2 P. David, D. DeMenthon, R. Duraiswami, and H. Samet, “Simultaneous pose and correspondence determination using line features,” Computer Vision and Pattern Recognition, Vol.2, pp.424–431, 2003. 미소장
3 H. Wuest, F. Vial, and D. Stricker, “Adaptive line tracking with multiple hypotheses for augmented reality,” ISMAR ’05, pp.62–69, 2005. 미소장
4 Distinctive Image Features from Scale-Invariant Keypoints 네이버 미소장
5 E. Marchand, P. Bouthemy, and F. Chaumette, “A 2D-3D model-based approach to real-time visual tracking,” Technical report, INRIA, March 2000. 미소장
6 A local method for contour matching and its parallel implementation 네이버 미소장
7 P. David and D. De Menthon, “Object recognition in high clutter images using line features,” ICCV ’05, pp.1581–1588, 2005. 미소장
8 Contour tracking by stochastic propagation of conditional density 네이버 미소장
9 Staffan Ekvall, Danica Kragic, Frank Hoffmann, “Object recognition and pose estimation using color coocurrence histograms and geometric modeling,” Image and Vision Computing Vol.23, pp.943–-955, 2005. 미소장
10 S.K. Nayar, S.A. Nene, H. Murase, “Subspace methods for robot vision,” IEEE Transactions on Robotics and Automation Vol.12(5), pp.750 –758, 1996. 미소장
11 B. Schiele, A. Pentland, “Probabilistic object recognition and localization, ICCV’99 Vol.1, pp.177-182, 1999. 미소장
12 Stable real-time 3D tracking using online and offline information. 네이버 미소장
13 F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce, “3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints,” Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp.272–277, 2003. 미소장
14 G. Bleser, Y. Pastarmov, and D. Stricker, “Real-time 3d camera tracking for industrial augmented reality applications,” Journal of WSCG, pp.47–54, 2005. 미소장
15 Joerg Liebelt, Cordelia Schmid, Klaus Schertler, “Viewpoint-Independent Object Class Detection using 3D Feature Maps,” Conference on Computer Vision & Pattern Recognition, pp.1-8, 2008. 미소장
16 Subspace methods for robot vision 네이버 미소장
17 Keypoint recognition using randomized trees. 네이버 미소장
18 G. Taylor, L. Kleeman, “Fusion of multimodal visual cues for modelbased object tracking,” Australiasian Conference on Robotics and Automation, Dec. 2003. 미소장
19 Merckel, L., Nishida, T., “Accurate object recognition using orientation sensor with refinement on the lie group of spatial rigid motions,” IEICE Transactions on Information and Systems Vol.E91-D(8), pp.2179–2188, 2008. 미소장
20 Edge-Projected Integration of Image and Model Cues for Robust Model-Based Object Tracking 네이버 미소장
21 P. David and D. DeMenthon, “Object recognition in high clutter images using line features,” ICCV ’05, pp.1581–1588, 2005. 미소장
22 Three-dimensional object recognition from single two-dimensional images 네이버 미소장
23 H. Wuest, F. Vial, and D. Stricker, “Adaptive line tracking with multiple hypotheses for augmented reality,” ISMAR ’05, pp.62–69, 2005. 미소장
24 Real-time visual tracking of complex structures 네이버 미소장
25 Particle Filter Based Robust Recognition and Pose Estimation of 3D Objects in a Sequence of Images 네이버 미소장
26 Jeihun Lee, Seungmin Beak, Changhyun Choi and Sukhan Lee, “A Particle Filter Based Probabilistic Fusion Framework for Simultaneous Recognition and Pose Estimation of 3D Objects in a Sequence of Images,” The 13th International Conference on Advanced Robotics (ICAR07), 2007. 미소장
27 A.E. Daher, Sehyuk Park, “Object Recognition and Classification from 3D Point Clouds” 3D object recognition, localization and treatment of rumex obtusifolius in its natural environment using 3d point clouds (IMS Institute of Mechatronic Systems, Zurich University, http://www.ims.zhwin.ch) 미소장
28 Prince, S.J.D., Elder, J.H., “Creating invariance to nuisance parameters in face recognition,” CVPR'05, Vol.2, pp.446-453, 2005. 미소장
29 Discriminant Saliency, the Detection of Suspicious Coincidences, and Applications to Visual Recognition 네이버 미소장
30 Environment 네이버 미소장
31 V.Sequeira a, K.Ng, E.Wolfart, J.G.M. Goncalves, D.Hogg, “Automated Reconstruction of 3D Models from Real Environments”, ISPRS Journal of Photogrammetry & RemoteSensing Vol54, pp.1–22, 1999. 미소장
32 Towards 3D Point cloud based object maps for household environments 네이버 미소장
33 Radu Bogdan Rusu, Zoltan-Csaba Marton, Nico Blodow, Michael Beetz, “Learning Informative Point Classes for the Acquisition of Object Model Maps”, Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision (ICARCV), Hanoi, Vietnam, pp.17-20, Dec. 2008. 미소장
34 Radu Bogdan Rusu, Zoltan-Csaba Marton, Nico Blodow, Mihai Emanuel Dolha, Michael Beetz, “Functional Object Mapping of Kitchen Environments”, Proceedings of the 21st IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nice, France, pp.22-26, Sep. 2008. 미소장
35 Radu Bogdan Rusu, Nico Blodow, Zoltan- Csaba Marton, Michael Beetz, Aligning “Point Cloud Views using Persistent Feature Histograms”, Proceedings of the 21st IEEE/ RSJ International Conference on Intelligent Robots and Systems (IROS), Nice, France, pp.22-26, Sep. 2008. 미소장
36 Kaustubh Pathak, Narunas Vaskevicius and Andreas Birk, “Uncertainty analysis for optimum plane extraction from noisy 3D rangesensor point-clouds”, Journal of Intelligent Service Robotics, pp.37-48, Jan. 2010 미소장
37 Jan Weingarten and Roland Siegwart, “3D SLAM using planar segments”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.3062-3067, Oct. 2006 미소장
38 Sukhan Lee, Daesik Jang, Eunyoung Kim and Suyeon Hong, JungHyun Han, “A Real-Time 3D Workspace Modeling with Stereo Camera”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2005. 미소장
39 Han-Young Jang, Hadi Moradi, Suyeon Hong, Sukhan Lee, and JungHyun Han, “Spatial Reasoning for Real-time Robotic Manipulation,” IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2632-2637, Oct. 2006. 미소장
40 Jaewoong Kim, Daesik Kim, Junghyun Seo, Sukhan Lee, Yeonchool Park, “Octree-Based Obstacle Representation and Registration for Real-Time”, International Conference on Mechatronics and Information Technology (ICMIT) 2007, Gifu, JAPAN (2007), Vol.6794 (2), pp.67945E.1-67945E.6, Dec. 2007. 미소장
41 K. Ban, F. Warashina, I. Kanno and H. Kumiya, “Industrial Intelligent Robot,” FANUC Tech. Rev., Vol.16, No.2, pp.29-34, Aug. 2003. 미소장
42 K. Rahardja and A. Kosaka, “Vision-based Bin-Picking: Recognition and Localization of Multiple Complex Objects using Simple Visual Cues,” Proc. of the IEEE/RSJ international Conf. on Intelligent Robots and Systems, Vol.3, pp.1448-1457, Nov. 1996. 미소장
43 Braintech releases Random Bin Picking(tm) software 네이버 미소장
44 Laser ranging and video imaging for bin picking 네이버 미소장
45 J. Kuehnle, A. Verl, Zhixing Xue, S. Ruehl, J. M. Zoellner, R. Dillmann, T. Grundmann, R. Eidenberger, R.D. Zoellner, “6D Object Localization and Obstacle Detection for Collision-Free Manipulation with a Mobile Service Robot”, International Conference on Advanced Robotics, pp.1-6, June 2009. 미소장
46 C. Ott, O. Eiberger, W. Friedl, B. Bauml, U. Hillenbrand, C. Borst, A. Albu-Schaffer, B. Brunner, H. Hirschmuller, S. Kielhofer, R. Konietschke, M. Suppa, T. Wimbock, F. Zacharias, G. Hirzinger,“A Humanoid Two- Arm System for Dexterous Manipulation”, IEEE-RAS International Conference on Humanoid Robots, pp.276-283, Dec. 2006. 미소장
47 M. Prats, P. Martinet, S. Lee, P. J. Sanz,“Compliant physical interaction based on external vision-force control and tactile-force combination”, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp.405-410, Aug. 2008. 미소장
48 M. Kojima, K. Okada, M. Inaba, “Manipulation and recognition of objects incorporating joints by a humanoid robot for daily assistive tasks”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1564-1569, Sep. 2008. 미소장
49 N. Vahrenkamp, S. Wieland, P. Azad, D. Gonzalez, T. Asfour, R. Dillmann, “Visual servoing for humanoid grasping and manipulation tasks”, IEEE-RAS International Conference on Humanoid Robots, pp.406 - 412, Dec. 2008. 미소장
50 Reiser Ulrich, Connette Christian, Fischer Jan, Kubacki Jens, Bubeck Alexander, Weisshardt Florian, Jacobs Theo, Parlitz Christopher, Hagele Martin, Verl Alexander, “Care-O-bot® 3 - creating a product vision for service robot applications by integrating design and technology”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.1992 - 1998, Oct. 2009. 미소장
51 Sukhan Lee, Eunyoung Kim, Yeonchool Park, “3D Object Recognition using Multiple Features for Robotic Manipulation”, IEEE International Conference on Robotics and Automation, pp.3768 - 3774, May 2006. 미소장
52 Seung Lee, Sukhan Lee, “Integration of Obkect recognition and Tracking for Natural Landmark Based Visual Servo”, International Symposium on Robotics, pp.130-135, Oct. 2008. 미소장