Skip to main content
Log in

Computer vision research at the University of Southern California

  • Published:
International Journal of Computer Vision Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  • Bejanin, M., Huertas, A., Medioni, G., and Nevatia, R. 1994. Model validation for change detection. Proceedings of the 1994 ARPA Image Understanding Workshop, Monterey, California, Vol. I, pp. 287–294.

  • Biederman I. Recognition by components: A theory of human image understanding. Psychological Review, 94(2): 115–147.

  • Binford, T.O. 1971. Visual perception by computer. IEEE Conference on Systems and Controls, Miami.

  • Binford, T.O. 1981. Inferring surfaces from images. Artificial Intelligence, 17:205–245.

    Google Scholar 

  • Chen, Y. and Medioni, G. 1992. Object modelling by registration of multiple range images. International Journal of Image and Vision Computing, 10(3):145–155.

    Google Scholar 

  • Chen, Y. and Medioni, G. 1994. Shape description of complex objects from multiple range images. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Seattle WA, pp. 153–158.

  • Chung, R. and Nevatia, R. 1993. Recovering building structure from stereo. Proceedings of the IEEE Workshop on Applications of Computer Vision, pp. 64–73.

  • Chung, Y., Prasanna, V.K., and Wang, C.L. 1995. A fast asynchronous algorithm for linear feature extraction on IBM SP-2, To appear at International Conference on Computer Architectures for Machine Perception (CAMP'95).

  • Franzen, W. 1991. Structure and motion from uniform 3D acceleration. Proceedings of the Workshop on Visual Motion, IEEE Computer Society, pp. 14–20.

  • Franzen, W. 1992. Structure from chronogeneous motion: A summary, Proceedings of DARPA Image Understanding Workshop, San Diego, CA, pp. 487–493.

  • Guy, G. and Medioni, G. 1994. Inferring surfaces from sparse 3-D data. Proceedings of ARPA Image Understanding Workshop, Monterey, CA.

  • Kim, D. and Nevatia, R. 1993. Indoor robot navigation without a specific map. Proceedings of the International Conference for Intelligent Autonomous System, Pittsburgh, PA, pp. 268–277.

  • Kim, D. and Nevatia, R. 1994. A method for recognition and localization of generic objects for indoor navigation. Proceedings of the IEEE Workshop on Applications of Computer Vision, Sarasota, FL, pp. 280–288.

  • Kim, Y. and Price, K. 1992. Refinement of noisy correspondence using feedback from 3-D motion. Proceedings of the Conference on Computer Vision and Pattern Recognition, Champaigne, IL. pp. 836–838.

  • Kim, Y. and Price, K. 1993. A feature-based monocular motion analysis system guided by feedback information. Proceedings of the DARPA Image Understanding Workshop, Washington, DC, pp. 611–620.

  • Liao, C. and Medioni, G. 1995. Simultaneous segmentation and approximation of complex patterns. In Proceedings of Computer Vision and Pattern Recognition, pp. 617–623.

  • Lin, C., Huertas, A., and Nevatia, R. 1994. Detection of buildings using perceptual grouping and shadows. Proceedings of the IEEE Computer Vision and Pattern Recognition Conference, Seattle, pp. 62–69.

  • Marr, D. 1981. Vision, W.H. Freeman and Co. Publishers.

  • Nevatia, R. and Binford, T.O. 1977. Description and recognition of complex curved objects. Artificial Intelligence, 8(1):77–98.

    Google Scholar 

  • Nevatia, R. and Reinhart, C. 1994. Parallel processing for spatial grouping and matching. Proceedings of the IEEE International Conference on Pattern Recognition, pp. 290–294.

  • Reinhart, C. and Nevatia, R. 1992. Issues in parallel tree search for object recognition. Proceedings of the IEEE International Conference on Pattern Recognition, pp. 225–228.

  • Wang, C.L., Prasanna, V.K., and Lim, Y.W. 1995. Parallelization of perceptual grouping on message-passing machines. To appear at International Conference on Computer Architectures for Machine Perception (CAMP'95).

  • Zerroug, M. and Nevatia, R. 1993. Quasi-invariant properties and 3-D shape recovery of non-straight, non-constant generalized cylinders. Proceedings of Computer Vision and Pattern Recognition, New York, pp. 96–103.

  • Zerroug, M. and Nevatia, R. 1994. From an intensity image to 3-D segmented descriptions. Proceedings of the IEEE International Conference on Pattern Recognition, Jerusalem, pp. 108–113.

  • Zerroug, M. and Nevatia, R. 1995. Pose estimation of multi-part curved objects. Proceedings of the IEEE International Symposium on Computer Vision, Coral Gables, pp. 431–436.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Nevatia, R., Medioni, G. Computer vision research at the University of Southern California. Int J Comput Vision 20, 5–9 (1996). https://doi.org/10.1007/BF00144114

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00144114

Keywords

Navigation