Abstract
Researchers in computer vision aim to make computers to do some of the things which the human visual system can do. Perhaps the major thing is the understanding of three-dimensional (3D) time-varying scenes. There are many applications: Inspection and quality control, monitoring and surveillance, navigation of mobile robots, etc. It is fair to say that computer scene understanding is still in a primitive state; most problems are unsolved. This makes computer vision a very challenging field to work in.
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References
Chen, H.H., Huang, T.S.: A Survey of Construction and Manipulation of Octrees. Computer Vision, Graphics, and Image Processing (CVGIP) 43, 409–431 (1988)
Agin, G.J., Binford, T.O.: Computer Analysis of Curved Objects. Proc. Int. Joint Conf. on Artificial Intelligence (IJCAI), 1973, pp. 629–640
Requicha, A.A.G.: Representations of Rigid Solids. ACM Computing Surveys 12, 437–464 (1980)
Barrow, H.G.: Popplestone, R.J.: Relational Descriptions in Picture Processing. In B. Meltzer, D. Michie (eds.): Machine Intelligence, 6. Edinburgh Univ. Press, Edinburgh 1971
Horn, B.K.P.: Robot Vision. McGraw-Hill, 1986
Lee, H.C.: Method for Computing the Scene-Illuminant Chromaticity from Specular Highlights. Jour. Optical Society of America A (JOSA A) 3 (10), 1694–1699 (Oct. 1986)
Wolff, L.B.: Shape from Photometric Flow Fields. Proc. SPIE, Optics, Illumination, and Image Sensing for Machine Vision, III, Cambridge, MA, Nov. 1988 1005, pp. 206–213
Wolff, L.B.: Shape from Photometric Flow Fields. Proc. SPIE, Optics, Illumination, and Image Sensing for Machine Vision, III, Cambridge, MA, Nov. 1988 1005, pp. 206–213
Will, P.M., Pennington, K.S.: Grid Coding: A Preprocessing Technique for Robot and Machine Vision. Artificial Intelligence 2, 319–329 (Winter 1971)
Moffitt, F.H., Mikhail, E.M.: Photogrammetry, 3rd ed. Harper & Row, 1980
Marr, D.: Vision. W.H. Freeman, 1982
Grimson, W.E.L.: An Implementation of a Computational Theory of Visual Surface Interpolation. Computer Vision, Graphics, and Image Processing (CVGIP) 22 (1), 39–69 (April 1983)
Witkin, A.P.: Recovering Surface Shape and Orientation from Texture. Artificial Intelligence 17, 17–45 (1981)
Kanade, T.: Recovery of the 3D Shape of an Object from a Single View. Artificial Intelligence 17, 409–460 (1981)
Koenderink, J.J., van Doom, A.J.: The Internal Representation of Solid Shape with Respect to Vision. Biological Cybernetics 32, 211–216 (1979)
Eggert, D., Bowyer, K.: Computing the Orthographic Projection Aspect Graph of Solids of Revolution. Proc. IEEE Workshop on Interpretation of 3D Scenes, Austin, TX, Nov. 1989, pp. 102–108
Ponce, J., Kriegman, D.J.: On Recognizing and Positioning Curved 3D Objects from Image Contours. Proc. IEEE Workshop on Interpretation of 3D Scenes, Austin, TX, Nov. 1989
Wallace, T.P., Mitchell, O.R.: Analysis of 3D Movement Using Fourier Descriptors. IEEE Trans. on PAMI 2 (6), 583–588 (Nov. 1980)
Cheng, J.K., Huang, T.S.: Image Registration by Matching Relational Structures. Pattern Recognition 17 (1), 149–160 (1984)
Brooks, R.A.: Model-Based 3D Interpretation of 2D Images. Proc. 7th Int. Joint Conf. on Artificial Intelligence (IJCAI), 1981, pp. 619–624
Huang, T.S. (ed.): Image Sequence Processing and Dynamic Scene Analysis. Springer-Verlag, Heidelberg 1983
O’Rourke, J., Badler, N.: Model-Based Image Analysis of Human Motion Using Constraint Propagation. IEEE Trans. PAMI 2, 522–536 (1980)
Neumann, B.: Natural Language Description of Time-Varying Scenes. Bericht nr. 105, FBI-HH-B105/84. Fachberich Informatik, Univ. Hamburg, W. Germany, Aug. 1984
Borchardt, G.C.: A Computer Model for the Representation and Identification of Physical Events. Tech. Rep. T-142. Coordinated Science Laboratory, Univ. of Illinois, Urbana, IL, May 1984.
Huang, T.S.: Motion Analysis. In S. Shapiro (ed.): Artificial Intelligence Encylopedia. Wiley, 1987, pp.620–632.
Fang, J.Q., Huang, T.S.: A Corner Finding Algorithm for Image Analysis and Registration. Proc. AAAI-82, Pittsburgh, PA, Aug. 18–20,1982, pp. 46–49
Moravec, H.P.: Obstacle Avoidance and Navigation in the Real World by a Seeing Robot Rover. Ph.D. dissertation, Stanford Univ., Stanford, CA, Sept. 1980
Fang, J.Q., Huang, T.S.: Some Experiments on Estimating the 3D Motion Parameters of a Rigid Body from Two Consecutive Image Frames. IEEE Trans. on PAMI 6 (5), 547–555 (Sept. 1984)
Gu, W.K., Yang, J.Y., Huang, T.S.: Matching Perspective Views of a 3D Object Using Composite Circuits. Proc. 7th ICPR, July 30—Aug. 2, 1984
Longuet-Higgins, H.C.: A Computer Program for Reconstructing a Scene from Two Projections. Nature 293, 133–135 (Sept. 1981)
Tsai, R.Y., Huang, T.S.: Uniqueness and Estimation of 3D Motion Parameters of Rigid Bodies with Curved Surfaces. IEEE Trans. PAMI 6 (1), 13–27 (1984)
Longuet-Higgins, H.C.: The Reconstruction of a Scene from Two Projections-Configurations that Defeat the 8-Point Algorithm. Proc. 1st Conf. Artificial Intelligence Applications, Denver, CO, Dec. 5–7, 1984, pp. 395–397
Faugeras, O.D., Lustman, F., Toscasi, G.: Motion and Structure from Motion from Points and Lines. Proc. 1st Int. Conf. Computer Vision, London, England, June 8–11, 1987
Liu, Y.C., Huang, T.S.: Estimation of Rigid Body Motion Using Straight-Line Correspondences. Proceedings of IEEE Workshop on Motion: Representation and Analysis, Kiawah Island, SC, May 7–9, 1986, pp. 47–52
Spaetsakis, M.E., Aloimonos, J.: Closed Form Solution to the Structure from Motion Problem from Line Correspondences. Tech. Rept. CAR-TR-374. Center for Automation Research, Univ. of Maryland, March 1987
Liu, Y.C., Huang, T.S.: A Linear Algorithm for Motion Estimation Using Straight Line Correspondences. Tech. Note ISP-309. Coordinated Science Laboratory, Univ. of Illinois, Urbana, IL, April 15, 1987
Chen, H.H., Huang, T.S.: Multiple Object Motion Determination by Matching 3D Points. Pattern Recognition, (Dec. 1987)
Chen, H.H., Huang, T.S.: Multiple Object Motion Estimation by Matching 3D Line Segments. Tech. Note ISP-120. Coordinated Science Laboratory, Univ. of Illinois, Urbana, IL, Dec. 15, 1986.
Huang, T.S., Weng, J., Ahuja, N.: 3D Motion from Image Sequences: Modeling, Understanding, and Prediction. Proceedings of IEEE Workshop on Motion: Representation and Analysis, Kiawah Island, SC, May 7–9, 1986, pp. 125–130
Chen, S.S.: Shape and Correspondence of Nonrigid Objects. In T.S. Huang (ed.): Advances in Computer Vision and Image Processing, Vol. 3. JAI Press, 1987
Weng, J., Huang, T.S., Ahuja, N.: Error Analysis of Linear Algorithm for Motion Estimation. Proc. 1st Int. Conf. Computer Vision, London, England, June 8–11, 1987
Mikhail, E.M., Paderes, F.C.: Photogrammetric Series of Moving Vehicle. Scientific Services Program DAAL03–86-D-0001 (0683), CAI-RI, U.S. Army ETL, Fort Belvoir, VA, Nov. 1988
Leung, M.K., Huang, T.S.: Estimating 3D Vehicle Motion in an Outdoor Scene Using Stereo Image Sequences. Tech. Rep. ISP-1010. Coordinated Science Laboratory, Univ. of Illinois, Urbana, IL, Apr., 1990
Leung, M.K., Choudhary, A.N., Patel, J.H., Huang, T.S.: Point Matching in a Time Sequence of Stereo Image Pairs and its Parallel Implementation on a Multiprocessor. IEEE Workshop on Visual Motion, Irvine, CA, Mar. 1989
Kim, Y.C., Aggarwal, J.K.: Finding Range from Stereo Images. IEEE Conf. Computer Vision and Pattern Recognition, San Francisco, CA, June 1985
Huang, T.S., Blostein, S.D., Margerum, E.A.: Least-Squares Estimation from 3D Point Correspondences. IEEE Conf. Computer Vision and Pattern Recognition, Miami Beach, FL, June 1986
Faugeras, O.D., Hebert, M.: A 3D Recognition and Positioning Algorithm Using Geometrical Matching Between Primitive Surfaces. Int. Joint Conf. Artificial Intelligence, Karlshrue, West Germany, Aug. 1983
Faugeras, O.D., Hebert, M.: A 3D Recognition and Positioning Algorithm Using Geometrical Matching Between Primitive Surfaces. Int. Joint Conf. Artificial Intelligence, Karlshrue, West Germany, Aug. 1983
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© 1991 EUROGRAPHICS The European Association for Computer Graphics
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Huang, T.S. (1991). Computer Vision. In: Garcia, G., Herman, I. (eds) Advances in Computer Graphics. EurographicSeminars. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76286-4_4
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DOI: https://doi.org/10.1007/978-3-642-76286-4_4
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