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Handbook of Computer Vision and Applications with CdromApril 1999
Publisher:
  • Morgan Kaufmann Publishers Inc.
  • 340 Pine Street, Sixth Floor
  • San Francisco
  • CA
  • United States
ISBN:978-0-12-379770-4
Published:01 April 1999
Pages:
2592
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Bibliometrics
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Abstract

From the Publisher:

The Handbook of Computer Vision and Applications Three-Volume Set covers one of the "hottest" subjects in today's intersection of Applied Physics, Computer Science, Electrical Engineering, and Applied Mathematics. The uniqueness of the set is that it is very applications-oriented. Examples of applications in different fields of modern science are particularly emphasized. In addition, three CD-ROMs are included, providing a rich collection of interactive software, image material, and other resources.

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  1. ACM
    Xu R, Kumar R, Wang P, Bai P, Meghanath G, Chaterji S, Mitra S and Bagchi S (2021). ApproxNet: Content and Contention-Aware Video Object Classification System for Embedded Clients, ACM Transactions on Sensor Networks, 18:1, (1-27), Online publication date: 28-Feb-2022.
  2. Hu B, Li L and Qian J (2019). Internal generative mechanism driven blind quality index for deblocked images, Multimedia Tools and Applications, 78:9, (12583-12605), Online publication date: 1-May-2019.
  3. Saha A and Wu Q (2016). Full-reference image quality assessment by combining global and local distortion measures, Signal Processing, 128:C, (186-197), Online publication date: 1-Nov-2016.
  4. Seghir Z and Hachouf F Color Image Quality Assessment Based on Gradient Similarity and Distance Transform Proceedings of the 16th International Conference on Advanced Concepts for Intelligent Vision Systems - Volume 9386, (591-603)
  5. Welfer D, Scharcanski J and Marinho D (2013). A morphologic two-stage approach for automated optic disk detection in color eye fundus images, Pattern Recognition Letters, 34:5, (476-485), Online publication date: 1-Apr-2013.
  6. Merfort C, Seibel K, Watty K and Böhm M (2010). Monolithically integrated µ-capillary electrophoresis with organic light sources and tunable a-Si, Microelectronic Engineering, 87:5-8, (712-714), Online publication date: 1-May-2010.
  7. Jehle M, Jähne B and Kertzscher U Direct estimation of the wall shear rate using parametric motion models in 3d Proceedings of the 28th conference on Pattern Recognition, (434-443)
  8. Barth E, Dorr M, Böhme M, Gegenfurtner K and Martinetz T Guiding eye movements for better communication and augmented vision Proceedings of the 2006 international tutorial and research conference on Perception and Interactive Technologies, (1-8)
  9. Ristić D and Gräser A (2006). Performance measure as feedback variable in image processing, EURASIP Journal on Advances in Signal Processing, 2006, (208-208), Online publication date: 1-Jan-2006.
  10. Liñán G, Espejo S, Domínguez-Castro R and Rodríguez-Vázquez A (2002). Architectural and Basic Circuit Considerations for a Flexible 128 × 128 Mixed-Signal SIMD Vision Chip, Analog Integrated Circuits and Signal Processing, 33:2, (179-190), Online publication date: 17-Nov-2002.
  11. ACM
    Zemcik P Hardware acceleration of graphics and imaging algorithms using FPGAs Proceedings of the 18th Spring Conference on Computer Graphics, (25-32)
Contributors
  • Heidelberg University
  • Intel Corporation

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