Edinburgh Research Explorer

Prof Bob Fisher

Chair in Computer Vision

  1. Dynamic 3D Reconstruction Improvement via Intensity Video Guided 4D Fusion

    Zhang, J., Maniatis, C., Horna, L. & Fisher, R., Aug 2018, In : Journal of visual communication and image representation. 55, p. 540-547 8 p.

    Research output: Contribution to journalArticle

  2. 3D Visual Passcode: Speech-driven 3D Facial Dynamics for Behaviometrics

    Zhang, J. & Fisher, R., Jul 2019, In : Signal Processing. 160, p. 164-177 38 p.

    Research output: Contribution to journalArticle

  3. Dual-modality Talking-metrics: 3D Visual-Audio Integrated Behaviometric Cues from Speakers

    Zhang, J., Richmond, K. & Fisher, R., 29 Nov 2018, 2018 24th International Conference on Pattern Recognition (ICPR). Institute of Electrical and Electronics Engineers (IEEE), 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Visual Cues Do Not Improve Lesion ABC(D) Grading

    Zanotto, M., Ballerini, L., Aldridge, B., Fisher, B. & Rees, J., 2011, Proceedings SPIE Medical Imaging Vil 7966. p. 796600-1 - 796600-10 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  5. Characterising a High-Speed 3D Surface Scanner for Bat Behaviour Study

    Xiao, Y., Fisher, B. & Oscar, M., 2008, Workshop on the Visual Observation and Analysis of Animal and Insect Behavior (held at ICPR2008). 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  6. Application of a High-speed Stereovision Sensor to 3D Shape Acquisition of Flying Bats

    Xiao, Y. & Fisher, R. B., 2010, VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010 - Volume 1. p. 431-434 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Performance characterization of a high-speed stereo vision sensor for acquisition of time-varying 3D shapes

    Xiao, Y., Fisher, R. & Oscar, M., 2011, In : Machine Vision and Applications. 22, 3, p. 535-549 15 p.

    Research output: Contribution to journalArticle

  8. Accurate Feature Extraction and Control Point Correction for Camera Calibration with a Mono-Plane Target

    Xiao, Y. & Fisher, B., 2010, Proceedings of 3DPVT 2010. 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Adaptive deblurring of surveillance video sequences that deteriorate over time

    Vougioukas, K., Boom, B. J. & Fisher, R. B., 1 Sep 2013, Image Processing (ICIP), 2013 20th IEEE International Conference on. p. 1085-1089 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  10. The Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion

    Tylecek, R., Sattler, T., Le, H-A., Brox, T., Pollefeys, M., Fisher, R. B. & Gevers, T., 2019, Computer Vision -- ECCV 2018 Workshops. Leal-Taixé, L. & Roth, S. (eds.). Cham: Springer International Publishing AG, p. 631-644 14 p. (Lecture Notes in Computer Science; vol. 11131).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  11. Consistent Semantic Annotation of Outdoor Datasets via 2D/3D Label Transfer

    Tylecek, R. & Fisher, R., 12 Jul 2018, In : Sensors. 18, 7, 20 p., 2249.

    Research output: Contribution to journalArticle

  12. A computer vision model for visual-object-based attention and eye movements

    Sun, Y., Fisher, R., Wang, F. & Gomes, H. M., Nov 2008, In : Computer Vision and Image Understanding. 112, 2, p. 126-142 17 p.

    Research output: Contribution to journalArticle

  13. TrimBot2020: an outdoor robot for automatic gardening

    Strisciuglio, N., Tylecek, R., Petkov, N., Biber, P., Hemming, J., van Henten, E., Sattler, T., Pollefeys, M., Gevers, T., Brox, T. & Fisher, R., 24 Sep 2018, 50th International Symposium on Robotics, ISR 2018. 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  14. Detecting, Tracking and Counting Fish in Low Quality Unconstrained Underwater Videos

    Spampinato, C., Chen-Burger, Y-H., Nadarajan, G. & Fisher, R., 2008, Proc. 3rd Int. Conf. on Computer Vision Theory and Applications (VISAPP). Vol. 2. p. 514-519 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  15. Automatic fish classification for underwater species behavior understanding

    Spampinato, C., Giordano, D., Di Salvo, R., Chen-Burger, Y-H., Fisher, R. B. & Nadarajan, G., 2010, Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams. New York, NY, USA: ACM, p. 45-50 6 p. (ARTEMIS '10).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  16. Understanding fish behavior during typhoon events in real-life underwater environments

    Spampinato, C., Palazzo, S., Boom, B., Ossenbruggen, J., Kavasidis, I., Salvo, R., Lin, F-P., Giordano, D., Hardman, L. & Fisher, R. B., 2012, In : Multimedia Tools and Applications. 58, 2, p. 1-38 38 p.

    Research output: Contribution to journalArticle

  17. Special issue on animal and insect behaviour understanding in image sequences

    Spampinato, C., Farinella, G. M., Boom, B., Mezaris, V., Betke, M. & Fisher, R. B., 30 Jan 2015, In : Eurasip journal on image and video processing. 4 p., 1.

    Research output: Contribution to journalEditorial

  18. Semi-supervised Learning for Anomalous Trajectory Detection

    Sillito, R. R. & Fisher, B., 2008, Proceedings British Machine Vision Conference BMVC2008. p. 1035-1044 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  19. Parametric Trajectory Representations for Behaviour Classification

    Sillito, R. R. & Fisher, R. B., 2009, Proceedings of the British Machine Vision Conference. BMVA Press, p. 101.1-101.11 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  20. Incremental One-Class Learning with Bounded Computational Complexity

    Sillito, R. R. & Fisher, B., 2007, Artificial Neural Networks - ICANN 2007. Marques de Sa, J., Alexandre, L. A., Duch, W. & Mandic, D. (eds.). Springer-Verlag GmbH, Vol. 4668. p. 58-67 10 p. (Lecture Notes in Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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