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Introduction: Computer Vision Research at NECI

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Abstract

This special issue of the International Journal of Computer Vision highlights research on computer vision at the NEC Research Institute. The purpose of this preface is to provide some context to how this work reflects our broader goals and themes of computer vision research at NECI.

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References

  • Alter, T. and Jacobs, D. 1998. Uncertainty propagation in model-based recognition. International Journal of Computer Vision, 27(2):127–159.

    Google Scholar 

  • Barlow, H.B. 1994a. The neuron doctrine in perception. In The Cognitive Neurosciences, M.S. Gazzaniga (Ed.), MIT Press, pp. 415–435.

  • Barlow, H.B. 1994b. What is the computational goal of the neocortex? In Large-scale Neuronal Theories of the Brain, C. Koch (Ed.), pp. 1–22.

  • Basri, R., Costa, L., Geiger, D., and Jacobs, D. 1998a. Determining the similarity of deformable shapes. Vision Research, 38(15/16):2365–2385.

    Google Scholar 

  • Basri, R. and Jacobs, D. 1997. Recognition using region correspondences. International Journal of Computer Vision, 25(2):145–166.

    Google Scholar 

  • Basri, R., Roth, D., and Jacobs, D. 1998b. Clustering appearances of 3D objects. In IEEE Conference on Computer Vision and Pattern Recognition, pp. 414–420.

  • Bialek, W., Rieke, F., de Ruyter van Steveninck, R., and Warland, D. 1991. Reading a neural code. Science, 252:1854–1857.

    Google Scholar 

  • Bloom, J.A., Cox, I.J., Kalker, T., Linnartz, J.-P., Miller, M.L., and Traw, B. 1999. Copy protection for DVD video. In Proceedings of the IEEE, 87(7):1267–1276.

    Google Scholar 

  • Bulthoff, H.H., Newell, F.N., Ernst, M.O., and Tjan, B.S. 1999. Visual and haptic recognition of objects. Investigative Ophthalmology and Visual Science, Suppl., 40(4):398. (abstract).

    Google Scholar 

  • Cox, I.J. 1994. A maximum likelihood N-camera stereo algorithm. In IEEE Conf. on Computer Vision and Pattern Recognition, pp. 733–739.

  • Cox, I.J., Ghosn, J., Miller, M.L., Papathomas, T., and Yianilos, P.N. 1997. Hidden annotation in content based image retrieval. In IEEE Workshop on Content-Based Access of Image & Video Libraries, pp. 76–81.

  • Cox, I.J. and Hingorani, S.L. 1996. An efficient implementation of Reid's multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking. IEEE Trans. on PAMI, 18(2):138–150.

    Google Scholar 

  • Cox, I.J., Hingorani, S., Maggs, B.M., and Rao, S.B. 1992. Stereo without disparity gradient smoothing: a Bayesian sensor fusion solution. In British Machine Vision Conference, D. Hogg and R. Boyle (Eds.), Springer-Verlag, pp. 337–346.

  • Cox, I.J., Hingorani, S.L., Maggs, B.M., and Rao, S.B. 1994. A maximum likelihood stereo algorithm. Computer Vision and Image Processing, 63(3):733–739.

    Google Scholar 

  • Cox, I.J., Kilian, J., Leighton, F.T., and Shamoon, T. 1997. Secure spread spectrum watermarking for images, audio and video. IEEE Trans. on Image Processing, 6(12):1673–1687.

    Google Scholar 

  • Cox, I.J. and Linnartz, J.-P.M.G. 1998. Some general methods for tampering with watermarks. IEEE Trans. on Selected Areas in Communications, 16(4):587–593.

    Google Scholar 

  • Cox, I.J. and Miller, M.L. 1995. On finding ranked assignments with application to multi-target tracking and motion correspondence. IEEE Trans. on Aerospace and Electronic Systems, 32(1):486–489.

    Google Scholar 

  • Cox, I.J. and Miller, M.L. 1997. A review of watermarking and the importance of perceptual modeling. In Proceedings of SPIE, Human Vision & Electronic Imaging II, Vol. 3016, pp. 92–99.

    Google Scholar 

  • Cox, I.J., Miller, M.L., Danchick, R., and Newnam, G.E. 1997. A comparison of two algorithms for determining ranked assignments with application to multi-target tracking and motion correspondence. IEEE Trans. on Aerospace and Electronic Systems, 33(1):295–301.

    Google Scholar 

  • Cox, I.J., Miller, M.L., and McKellips, A. 1999. Watermarking as communications with side information. Proceedings of the IEEE, 87(7):1127–1141.

    Google Scholar 

  • Cox, I.J., Miller, M., Minka, T., and Yianilos, P. 1998. An optimized interaction strategy for Bayesian relevance feedback. In IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR '98).

  • Cox, I.J., Miller, M.L., Omohundo, S., and Yianilos, P.N. 1996. PicHunter: Bayesian relevance feedback for image retrieval. In 13th International Conference on Pattern Recognition, Vol. III Track C, pp. 361–369.

    Google Scholar 

  • Cox, I.J., Miller, M., Omohundo, S.M., and Yianilos, P.N. 1996. Target testing and the PicHunter Bayesian multimedia retrieval system. In Proceedings of the Forum on Research & Technology Advances in Digital Libraries, pp. 66–75.

  • Cox, I.J., Rehg, J.M., and Hingorani, S. 1993. A Bayesian multiple hypothesis approach to contour grouping and segmentation. Int. J. of Computer Vision, 11(1):5–24.

    Google Scholar 

  • Cox, I.J., Rao, S., and Zhong, Yu 1996. Ratio regions: a technique for image segmentation. In Proceedings of the 13th International Conference on Pattern Recognition, Vol. II Track B, pp. 557–564.

    Google Scholar 

  • de Ruyter van Steveninck, R. and Laughlin, S.B. 1996. The rate of information transfer at graded-potential synapses. Nature, 379:642–645.

    Google Scholar 

  • de Ruyter van Steveninck, R., Lewen, G.D., Strong, S.P., Koberle, R., and Bialek, W. 1997. Reproducibility and variability in neural spike trains. Science, 275:1805–1808.

    Google Scholar 

  • Dupuis, P. and Oliensis, J. 1994. An optimal control formulation and related numerical methods for a problem in shape reconstruction. Annals of Applied Probability, 4(2):287–346.

    Google Scholar 

  • Elder, J. and Zucker, S.W. 1996. Computing contour closure. In Proc. 4th European Conf. on Computer Vision, Lecture Notes in Computer Science, Springer Verlag, New York, pp. 399–412.

    Google Scholar 

  • Gear, C.W. 1998. Multibody grouping from motion images. Int. J. of Computer Vision, 29(2):133–150.

    Google Scholar 

  • Jacobs, D.W. 1996. Robust and efficient detection of convex groups. IEEE Trans. on Pattern Analysis and Machine Intelligence, 18(1):23–37.

    Google Scholar 

  • Jacobs, D. 1997. Linear fitting with missing data. In IEEE Conference on Computer Vision and Pattern Recognition, pp. 206–212.

  • Jacobs, D., Belhumeur, P., and Basri, R. 1998. Comparing images under variable illumination. In IEEE Conference on Computer Vision and Pattern Recognition, pp. 610–617.

  • Jacobs, D. and Chennubhotla, C. 1994. Segmenting independently moving, noisy points. In IEEE Workshop on Motion of Non-Rigid and Articulate Objects, pp. 96–103.

  • Jacobs, D., Weinshall, D., and Gdalyahu, Y. 1998. Condensing image databases when retrieval is based on non-metric distances. In 6th IEEE International Conference on Computer Vision, pp. 596–601.

  • Langer, M.S. and ülthoff, H.H. 1997. Qualitative shape from shading: Cloudy days and sunny days. Investigative Ophthalmology and Visual Science, Vol. 38, ARVO Annual Meeting, Fort Lauderdale, FL, (abstract).

  • Langer, M.S. and ülthoff, H.H. 1998. Shape from shading perception under diffuse lighting: does dark mean deep? Perception, Vol. 27, (supplement), European Conf. on Visual Perception (abstract).

  • Langer, M.S. and Zucker, S.W. 1997. What is a light source? In IEEE Conf. on Computer Vision and Pattern Recognition, pp. 172–178.

  • Lawrence, Steve, Yianilos, Peter, N., and Cox, Ingemar, J. 1997. Face recognition using mixture-distance and raw images. In SMC'97 Conference Proceedings, Vol. 3, pp. 2016–2021.

    Google Scholar 

  • Liu, Z. 1996. Viewpoint dependency in object representation and recognition. Spatial Vision, 9(4):491–521.

    Google Scholar 

  • Liu, Z. 1998a. Ideal observers of visual object recognition. In Theoretical Aspects of Neural Computation, A Multidisciplinary Perspective, K.M. Wong (Ed.), pp. 145–154.

  • Liu, Z. 1998b. Simultaneous learning of motion discrimination in two directions. Cognitive Brain Research, 6(4):347–349.

    Google Scholar 

  • Liu, Z., Jacobs, D., and Basri, R. The role of convexity in perceptual completion. Vision Research, (to be published).

  • Liu, Z. and Kersten, D. 1998a. 2D affine transformations cannot account for human 3D object recognation. In Proc. 6th Int. Conf. on Computer Vision, pp. 549–554.

  • Liu, Z. and Kersten, D. 1998b. 2D observers for human 3D object recognition? Vision Research, 38(15/16):2507–2519.

    Google Scholar 

  • Liu, Z. and Kersten, D. 1999. Dissociating stimulus information from internal representation—a case study in object recognition. Vision Research, 39(3):603–612.

    Google Scholar 

  • Liu, Z. and Weinshall, D. Mechanisms of generalization in perceptual learning. Vision Research, (to be published).

  • Miller, M.L., Stone, H., and Cox, I.J. 1997. Optimizing Murty's ranked assignment method. IEEE Trans. on Aerospace and Electronic Systems, 33(3):851–862.

    Google Scholar 

  • NEC Vision Workshops. http://www.neci.nj.nec.com/homepages/vision/index.html.

  • Oliensis, J. 1991a. Shape from shading as a partially well-constrained problem. Computer Vision, Graphics, and Image Processing: Image Understanding, 54(2):163–183.

    Google Scholar 

  • Oliensis, J. 1991b. Uniqueness in shape from shading. The International Journal of Computer Vision, 6(2):75–104.

    Google Scholar 

  • Oliensis, J. and Dupuis, P. 1992. Direct method for reconstructing shape from shading. In Physics-Based Vision: Principles and Practice, Shape Inference Volume, L. Wolff, S. Shafer, and G. Healey (Eds.), Jones and Bartlett, pp. 17–28.

  • Papathomas, T.V., Conway, T.E., Cox, I.J., Ghosn, J., Miller, M.L., Minka, T.P., and Yianilos, P.N. 1998. Psychophysical studies of the performance of an image database retrieval system. In IS&T/SPIE Symposium on Electronic Imaging: Science and Technology, Conference on Human Vision and Electronic Imaging III.

  • Potters, M. and Bialek, W. 1994. Statistical mechanics and visual signal processing. J. Phys. I France, 4:1755–1775.

    Google Scholar 

  • Rieke, F., Warland, D., de Ruyter van Steveninck, R., and Bialek, W. 1997. Spikes: Exploring the Neural Code. MIT Press.

  • Rinberg, D., Davidowitz, H., and Tishby, N. 1999. Multi-electrode spike sorting by clustering transfer functions. In Advances in Neural Information Processing 11, M.S. Kearns (Ed.), pp. 146–152.

  • Roy, Sebastien and Cox, Ingemar, J. 1996. Motion without structure. In Proceedings of the 13th International Conference on Pattern Recognition, Vol. 1, Track A, pp. 728–734.

    Google Scholar 

  • Roy, Sebastien and Cox, Ingemar, J. 1998. A maximum-flow formulation of the N-camera stereo correspondence problem. In Proc. of the 1998 International Conference on Computer Vision (CVPR). pp. 492–499.

  • Ruderman, D.L. and Bialek, W. 1994. Statistics of natural images: Scaling in the woods. Phys. Rev. Lett., 73:814–817.

    Google Scholar 

  • Sakamoto, Shizuo, Cox, Ingemar, J., and Tajima, Johji 1997. A multiple-baseline stereo for precise human face acquisition. Pattern Recognition Letters, 18:923–931.

    Google Scholar 

  • Stewart, A.J. and Langer, M.S. 1997. Towards accurate recovery of shape from shading under diffuse lighting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(9):1020–1025.

    Google Scholar 

  • Stone, H.S. 1998. Content-based image retrieval—research issues. In Recent Advances in Multimedia, B. Sheu and M. Ismail (Eds.), IEEE Press, pp. 282–322.

  • Stone, H.S. 1999. Progressive wavelet correlation using Fourier techniques. IEEE Transactions on Signal Processing, 47(1):97–107.

    Google Scholar 

  • Stone, H.S., Le Moigne, J., and McGuire, M. 1999. Image registration using wavelet techniques. IEEE Transactions on Pattern Recognition and Machine Intelligence, to appear.

  • Stone, H.S. and Shamoon, T. 1997. Search by content of partially occluded images. International Journal on Digital Libraries, 1(4):329–343.

    Google Scholar 

  • Strong, S.P., Koberle, R., de Ruyter van Steveninck, R., and Bialek, W. 1998. Entropy and information in neural spike trains. Phys. Rev. Lett., 80:197–200.

    Google Scholar 

  • Thornber, K. and Williams, L.R. 1996. Analytic solution of stochastic completion fields. Biological Cybernetics, 75:141–151.

    Google Scholar 

  • Thornber, K.K. and Williams, L.R. 1998. Scale, orientation and discontinuity as emergent properties of illusory contour shape. Neural Information Processing Systems 11.

  • Tjan, B.S. and Liu, Z. 1998. Symmetry discrimination of faces. Investigative Ophthalmology and Visual Science, Suppl., 39(4):170, (abstract).

    Google Scholar 

  • Tjan, B.S., Ruppertsberg, A.I., and Bulthoff, H.H. 1999. Early use of color but not local structure in rapid scene perception. Investigative Ophthalmology and Visual Science, Suppl., 40(4):414, (abstract).

    Google Scholar 

  • Williams, L.R. and Jacobs, D.W. 1997a. Local parallel computation of stochastic completion fields. Neural Computation, 9(4):859–881.

    Google Scholar 

  • Williams, L.R. and Jacobs, D.W. 1997b. Stochastic completion fields: a neural model of illusory contour shape and salience. Neural Computation, 9(4):837–858.

    Google Scholar 

  • Yianilos, Peter N., Cox, Ingemar, J., and Ghosn Joumana. 1996. Feature-based face recognition using mixture-distance. In Proceedings of the Conference on Computer Vision & Pattern Recognition, pp. 209–216.

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Cox, I.J. Introduction: Computer Vision Research at NECI. International Journal of Computer Vision 34, 75–79 (1999). https://doi.org/10.1023/A:1008176402209

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