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Volumn 2, Issue 4, 1989, Pages 373-394

Recovery of the 3-D location and motion of a rigid object through camera image (An Extended Kalman Filter Approach)

Author keywords

[No Author keywords available]

Indexed keywords


EID: 34249974105     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/BF00133556     Document Type: Article
Times cited : (45)

References (30)
  • 1
    • 0019597874 scopus 로고
    • Analysis of visual motion by biological and computer systems
    • (1981) Computer , vol.14 , pp. 57-69
    • Ullman, S.1
  • 4
    • 84934166554 scopus 로고    scopus 로고
    • Y. Yasumoto and G. Medioni, “Experiments in estimation of 3-D motion parameters from a sequence of image frames,” Proc. IEEE Conf. Computer Vision Pattern Recognition, San Francisco, pp. 89–94, 1985.
  • 8
    • 84934166555 scopus 로고    scopus 로고
    • H.H. Nagel, “On the derivation of 3-D rigid point configurations from image sequence,” Proc. IEEE Conf. Pattern Recog. Image Processing, Dallas, pp. 103–108, August 1981.
  • 9
    • 84934166560 scopus 로고    scopus 로고
    • T.S. Huang and J.Q. Fang, “Estimating 3-D motion parameters: Some experimental results,” Proc. 3rd Intern. Conf. Robot Vision and Sensory Controls, Cambridge, MA. pp. 229–231, November 1983.
  • 11
    • 84934166561 scopus 로고    scopus 로고
    • J. O'Rourke, “Motion detection using Hough techniques,” Proc. IEEE Conf. Pattern Recognition Image Processing. Dallas, pp. 82–87, August 1981.
  • 13
    • 84934166558 scopus 로고    scopus 로고
    • B.G. Schunck, “Image flow: Fundamentals and future research,” Proc. IEEE Conf. Computer Vision Pattern Recognition, San Francisco, 560–571, 1985.
  • 14
    • 0000577470 scopus 로고
    • Determining 3-D motion and structure from optical flow generated by several moving objects
    • (1985) IEEE Trans. PAMI , vol.6 , pp. 384-401
    • Avid, G.1
  • 15
    • 84934166559 scopus 로고    scopus 로고
    • S. Negahdaripour and B.K.P. Horn, “Determining 3-D motion of planar objects from image brightness patterns,” MIT Artificial Intelligence Laboratory, 1985.
  • 16
    • 84934166546 scopus 로고    scopus 로고
    • G. Avid, “Inherent ambiguities in recovering 3-D motion and structure from a noisy flow field,” Proc. IEEE Conf. Computer Vision Pattern Recognition, San Francisco, pp. 70–77, 1985.
  • 17
    • 84934166548 scopus 로고    scopus 로고
    • K. Kanatani, “Structure and motion from optical flow under perspective projection,” submitted to Computer Vision, Graphics, and Image Processing, 1986.
  • 19
    • 84934166573 scopus 로고    scopus 로고
    • O.D. Faugeras, N. Ayache, and B. Faverjon, “Building visual maps by combining noisy stereo measurements,” Proc. IEEE Conf. Robotics and Automation, San Francisco, pp. 1433–1438, 1986.
  • 20
    • 0020276763 scopus 로고
    • Tracking known three-dimensional objects
    • (1982) AAAI , vol.82 , pp. 13-17
    • Gennery, D.B.1
  • 21
    • 0001727848 scopus 로고
    • On the parameterization of the three-dimensional rotation group
    • (1964) SIAM Review , vol.6 , Issue.4 , pp. 422-430
    • Stuelpnagel, J.1
  • 24
    • 84934166565 scopus 로고    scopus 로고
    • R.Y. Tsai, “An efficient and accurate camera calibration technique for 3-D machine vision,” Proc. IEEE Conf. Comput. Vision Pattern Recognition, Miami, pp. 364–374, 1986.
  • 28
    • 84934166566 scopus 로고    scopus 로고
    • P.J. Besl and R.C. Rain. “Three Dimensional Object Recognition,” ACM Computing Surveys, 17(1): 1985.
  • 29
    • 84934166567 scopus 로고    scopus 로고
    • J.J. Wu, An Intensity Image System for 3D Object Recognition, Localization, and Motion Recovery. Ph.D. dessertation, Department of Electrical Engineering, University of Alberta, 1988.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.