DOI: 10.1007/bf00054921. Recognizing solid objects by alignment with an image

Recognizing solid objects by alignment with an image

10.1007/bf00054921

Crossref journal-article

Springer Science and Business Media LLC

International Journal of Computer Vision (297)

Bibliography

Huttenlocher, D. P., & Ullman, S. (1990). Recognizing solid objects by alignment with an image. International Journal of Computer Vision, 5(2), 195â212.

Authors 2

Daniel P. Huttenlocher (first)
Shimon Ullman (additional)

References 29 Referenced 355

Ayache, N., and Faugeras, O.D., 1986. HYPER: A new approach for the recognition and positioning of two-dimensional objects. IEEE Trans. Patt. Anal. Mach. Intell. 8 (1): 44?54. (10.1109/TPAMI.1986.4767751) / IEEE Trans. Patt. Anal. Mach. Intell. by N. Ayache (1986)
Basri, R., and Ullman, S. 1988. The alignment of objects with smooth surfaces. Proc. 2nd Intern. Conf. Comput. Vision, pp. 482?488. (10.1109/CCV.1988.590027)
Bolles, R.C., and Cain, R.A. 1982. Recognizing and locating partially visible objects: The local feature focus method. Intern. J. Robotics Res. 1 (3): 57?82. (10.1177/027836498200100304) / Intern. J. Robotics Res. by R.C. Bolles (1982)
Brooks, R.A. 1981. Symbolic reasoning around 3-D models and 2-D images. Artificial Intelligence J. 17: 285?348. (10.1016/0004-3702(81)90028-X) / Artificial Intelligence J. by R.A. Brooks (1981)
Canny, J.F. 1986. A computational approach to edge detection. IEEE Trans. Patt. Anal. Mach. Intell. 8 (6): 34?43. / IEEE Trans. Patt. Anal. Mach. Intell. by J.F. Canny (1986)
Chin, R.T., and Dyer, C.R. 1986. Model-based recognition in robot vision. ACM Computing Surveys 18 (1): 67?108. (10.1145/6462.6464) / ACM Computing Surveys by R.T. Chin (1986)
Cyganski, D., and Orr, J.A. 1985. Applications of tensor theory to object recognition and orientation determination. IEEE Trans. Patt. Anal. Mach. Intell. PAMI-7 (6): 662?673. (10.1109/TPAMI.1985.4767722) / IEEE Trans. Patt. Anal. Mach. Intell. PAMI by D. Cyganski (1985)
Duda, R.O., and Hart, P.E., 1973. Pattern Classification and Scene Analysis. Wiley: New York. / Pattern Classification and Scene Analysis. by R.O. Duda (1973)
Fischler, M.A., and Bolles, R.C. 1981. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography, Comm. Assoc. Comput. Mach. 24 (6): 381?395. / Comm. Assoc. Comput. Mach. by M.A. Fischler (1981)
Goad, C. 1986. Fast 3D model-based vision. In From Pixels to Predicates: Recent Advances in Computational and Robotic Vision. A.P., Pentland, ed. Ablex: Norwood, N.J. / From Pixels to Predicates: Recent Advances in Computational and Robotic Vision by C. Goad (1986)
Grimson, W.E.L., and Lozano-Pérez, T. 1987. Localizing overlapping parts by searching the interpretation tree. IEEE Trans. Patt. Anal. Mach. Intell. 9 (4):469?482. (10.1109/TPAMI.1987.4767935) / IEEE Trans. Patt. Anal. Mach. Intell. by W.E.L. Grimson (1987)
Grimson, W.E.L., and Huttenlocher, D.P. 1990. On the sensitivity of the Hough transform for object recognition. IEEE Trans. Patt. Anal. Mach. Intell. 12 (3): 255?274. (10.1109/34.49052) / IEEE Trans. Patt. Anal. Mach. Intell. by W.E.L. Grimson (1990)
Horn, B.K.P., and Weldon, E.J. 1985. Filtering closed curves. Proc. Conf. Comput. Vision Patt. Recog., pp. 478?484.
Horn, B.K.P. 1986. Robot Vision. MIT Press: Cambridge, MA. / Robot Vision by B.K.P. Horn (1986)
Huttenlocher, D.P., and Ullman, S. 1987. Object recognition using alignment. Proc. 1st Intern. Conf. Comput. Vision, pp. 102?111.
Huttenlocher, D.P., and Ullman, S. 1988. Recognizing solid objects by alignment. Proc. DARPA Image Understanding Workshop. Morgan Kaufman Publishers: San Mateo, CA, pp. 1114?1124. / Proc. DARPA Image Understanding Workshop by D.P. Huttenlocher (1988)
Ikeuchi, K. 1987. Precompiling a geometrical model into an interpretation tree for object recognition in bin-picking tasks. Proc. DARPA Image Understanding Workshop. Morgan Kaufmann Publishers: San Mateo, CA, pp. 321?338. / Proc. DARPA Image Understanding Workshop by K. Ikeuchi (1987)
Kanade, T., and Kender, J.R. 1983. Mapping image properties into shape constraits: Shewed symmetry, affine transformable patterns, and the shape-from-texture paradigm. In J., Beck et al. (eds.), Human and Machine Vision, Academic Press: Orlando, FL. / Human and Machine Vision by T. Kanade (1983)
Klein, F. 1939. Elementary Mathematics from an Advanced Standpoint: Geometry, MacMillan: New York. / Elementary Mathematics from an Advanced Standpoint: Geometry by F. Klein (1939)
Lamdan, Y., Schwartz, J.T., and Wolfson, H.J. 1988. Object recognition by affine invariant matching. Proc. IEEE Conf. Comput. Vision Patt. Recog. (10.1109/CVPR.1988.196257)
Linainmaa, S., Harwood, D., and Davis, L.S. 1985. Pose determination of a three-dimensional object using triangle pairs. CAR-TR-143, Center for Automation Research, University of Maryland.
Lowe, D.G. 1987. Three-dimensional object recognition from single two-dimensional images. Artificial Intelligence J. 31: 355?395. (10.1016/0004-3702(87)90070-1) / Artificial Intelligence J. by D.G. Lowe (1987)
Lowe, D.G. 1988. Organization of smooth image curves at multiple scales. Proc. 2nd Intern. Conf. Comput. Vision, pp. 558?567. (10.1109/CCV.1988.590036)
Mokhtarian, F., and Mackworth, A. 1986. Scale-based description and recognition of planar curves and two-dimensional shapes. IEEE Trans. Patt. Anal. Mach. Intell. 8 (1). (10.1109/TPAMI.1986.4767750)
Roberts, L.G. 1965. Machine perception of three-dimensional solids. J.T., Tippet et al. eds. MIT Press, Cambridge, MA. / Machine perception of three-dimensional solids by L.G. Roberts (1965)
Shoham, D., and Ullman, S. 1988. Aligning a model to an image using minimal information. Proc. 2nd Intern. Conf. Comput. Vision. (10.1109/CCV.1988.589997)
Silberberg, T., Harwood, D., and Davis, L.S., 1986. Object recognition using oriented model points. Comput. Vision, Graphics and Image Process. 35: 47?71. (10.1016/0734-189X(86)90125-8) / Comput. Vision, Graphics and Image Process. by T. Silberberg (1986)
Thompson, D., and Mundy, J.L. 1987. Three-dimensional model matching from an unconstrained viewpoint. Proc. IEEE Conf. Robotics and Automation, p. 280. (10.1109/ROBOT.1987.1088004)
Ullman, S. 1987. An approach to object recognition: Aligning pictorial descriptions. MIT Artificial Intellignece Lab., Memo No. 931.

Dates

Type	When
Created	20 years, 10 months ago (Oct. 31, 2004, 7:14 a.m.)
Deposited	6 years, 5 months ago (April 2, 2019, 11:51 p.m.)
Indexed	2 months, 3 weeks ago (June 12, 2025, 6:43 a.m.)
Issued	34 years, 10 months ago (Nov. 1, 1990)
Published	34 years, 10 months ago (Nov. 1, 1990)
Published Print	34 years, 10 months ago (Nov. 1, 1990)

Funders 0

None

BibTeX

@article{Huttenlocher_1990, title={Recognizing solid objects by alignment with an image}, volume={5}, ISSN={1573-1405}, url={http://dx.doi.org/10.1007/bf00054921}, DOI={10.1007/bf00054921}, number={2}, journal={International Journal of Computer Vision}, publisher={Springer Science and Business Media LLC}, author={Huttenlocher, Daniel P. and Ullman, Shimon}, year={1990}, month=nov, pages={195–212} }

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