Lyndon Smith (academic)

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Lyndon Smith
Smith in 2020
Born
Lyndon Neal Smith

(1964-12-26) 26 December 1964 (age 59)
Stroud, Gloucestershire, England
Alma materUniversity of Wales (BSc)
Cranfield Institute of Technology (MSc)
University of the West of England (PhD)
Scientific career
FieldsComputer simulation
Machine vision
Thesis A knowledge based system for powder metallurgy technology  (1997)
Doctoral advisorSagar Midha
WebsiteLyndon Smith

Lyndon Neal Smith (born 26 December 1964) is an English academic who is Professor in Computer Simulation and Machine Vision at the School of Engineering at the University of the West of England. He is also Director of the Centre for Machine Vision at the Bristol Robotics Laboratory.

Early life

Smith was born in Stroud, Gloucestershire, on 26 December 1964 to Lionel Alfred Smith and Dorothy Smith. He received a Bachelor of Science (BSc) from the University of Wales in 1986, a Master of Science (MSc) from the Cranfield Institute of Technology in 1988, and a Doctor of Philosophy (PhD) from the University of the West of England in 1997.[1] His PhD thesis was entitled A knowledge based system for powder metallurgy technology.[2] He completed a secondment at the Pennsylvania State University which lasted for a year.[3]

Career

Smith is Professor in Computer Simulation and Machine Vision at the School of Engineering at the University of the West of England.[4] He is also Director of the Centre for Machine Vision at the Bristol Robotics Laboratory.[5]

He has developed a technique for the simulation of the packing densities of particles with irregular morphologies.[6]

He helped develop 3D face recognition technology which he said was "on the verge of becoming really big" in 2017.[7][8]

Smith has been involved in plans to replace turnstiles on the London Underground with a facial recognition system.[9] He said that facial recognition technology under development could replace train tickets, and have applications in stores, train stations and banks.[10]

Personal life

Smith lives in Wedmore, Somerset.[11]

Selected publications

  • Smith, L. N.; Huang, N.; Hansen, M. F.; Smith, M. L. (July 2020). Deep 3D Face Recognition using 3D Data Augmentation and Transfer Learning. 16th International Conference on Machine Learning and Data Mining MLDM'2020. Amsterdam, Netherlands.
  • Smith, L. N.; Byrne, A.; Hansen, M. F.; Zhang, W.; Smith, M. L. (August 2019). Weed classification in grasslands using convolutional neural networks. Applications of Machine Learning, SPIE Optics Photonics.
  • Smith, L. N.; Zhang, W.; Smith, M. L. (August 2018). 2D and 3D Face Analysis for Ticketless Rail Travel. 2IPCV'18: 2nd International Conference on Image Processing, Computer Vision, & Pattern Recognition. Las Vegas, US.
  • Smith, L. N.; Zhang, W.; Hansen, M. F.; Hales, I.; Smith, M. L. (May 2018). "Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field". Computers in Industry. 97: 122–131. doi:10.1016/j.compind.2018.02.002. PMC 6034441. PMID 29997402.
  • Smith, L. N.; Farooq, A. R.; Smith, M. L.; Ivanov, I. E.; Orlando, A. (June 2017). "Realistic and interactive high-resolution 4D environments for real-time surgeon and patient interaction" (PDF). International Journal of Medical Robotics and Computer Assisted Surgery. 97 (2): 122–131. doi:10.1002/rcs.1761. PMID 27439562. S2CID 4049782.
  • Abdul Jabbar, K.; Hansen, M. F.; Smith, M. L.; Smith, L. N. (January 2017). "Early and non-intrusive lameness detection in dairy cows using 3-dimensional video" (PDF). Biosystems Engineering. 153: 63–69. Bibcode:2017BiSyE.153...63A. doi:10.1016/j.biosystemseng.2016.09.017. S2CID 64782705.
  • Abdul Jabbar, K.; Hansen, M. F.; Smith, M. L.; Smith, L. N. (29–31 October 2016). Overhead spine arch analysis of dairy cows from three-dimensional video. Eighth International Conference on Graphic and Image Processing (ICGIP 2016). Tokyo, Japan.
  • Abdul Jabbar, K.; Hansen, M. F.; Smith, M. L.; Smith, L. N. (20–21 October 2016). Quadruped locomotion analysis using three-dimensional video. IEEE ICSAE Conference. Newcastle, England.
  • Smith, L. N.; Smith, M. L.; Fletcher, M. E.; Henderson, A. J. (June 2016). "A 3D Machine Vision Method for Non-Invasive Assessment of Respiratory Function" (PDF). International Journal of Medical Robotics and Computer Assisted Surgery. 12 (2): 179–188. doi:10.1002/rcs.1669. PMID 25968923. S2CID 263354293.
  • Hansen, M. F.; Smith, M. L.; Smith, L. N.; Hales, I.; Forbes, D. (10 September 2015). Non-intrusive automated measurement of dairy cow body condition using 3D video. British Machine Vision Conference - Workshop of Machine Vision and Animal Behaviour. Swansea, Wales.
  • Sun, J.; Xiaoping, X.; Farooq, A. R.; Smith, M. L.; Smith, L. N. (June 2015). "A photometric stereo approach for chronic wound measurement". Sensor Review. 35 (4): 419–424. doi:10.1108/SR-01-2015-0018.
  • Sohaib, A.; Farooq, A. R.; Ahmed, J.; Smith, L. N.; Smith, M. L. (March 2015). "3D reconstruction of concave surfaces using polarisation imaging". Journal of Modern Optics. 62 (11): 927–932. Bibcode:2015JMOp...62..927S. doi:10.1080/09500340.2015.1016130. S2CID 122903997.
  • Smith, L. N.; Smith, M. L.; Farooq, A. R.; Sun, J.; Ding, Y.; Warr, R. (May 2011). "Machine vision 3D skin texture analysis for detection of melanoma". Sensor Review. 31 (2): 111–119. doi:10.1108/02602281111109961.
  • Smith, L. N. (September 2009). "Analysis of Three Dimensional Textures Through use of Photometric Stereo, Co-occurrence Matrices and Neural Networks". American Institute of Physics Conference Proceedings 1504. Seventh International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2009). Ixia, Greece. doi:10.1063/1.4772144.

Books

  • Smith, L. N. (2003). A knowledge-based System for Powder Metallurgy Technology. Professional Engineering Publishing. ISBN 1860584020.
  • Smith, Lyndon N. (2020). Why You Can't Catch a Rocket to Mars: Some Personal Reflections on Science and Society. The Berkeley Bookstore. ISBN 979-8566552750.
  • Smith, Lyndon N. (2021). STAR TREK NATION: An Englishman's view of America. Sedgemoor Books. ISBN 979-8498760865.
  • Smith, Lyndon N. (2023). Wonders of the West. Sedgemoor Books.

References

  1. ^ Who's Who in Science and Engineering: 2002-2003. Marquis Who's Who; 6th edition. 2001. p. 906. ISBN 0837957605.
  2. ^ "A knowledge based system for powder metallurgy technology". British Library EthOS. Retrieved 14 October 2023.
  3. ^ Farooq, A. R.; Smith, M. L.; Smith, L. N.; Midha, P. S. (2005). "Dynamic photometric stereo for on line quality control of ceramic tiles". Computers in Industry. 56 (8–9): 918–934. doi:10.1016/j.compind.2005.05.017. Retrieved 23 June 2020.
  4. ^ "Professor Lyndon Smith". UWE Bristol. Retrieved 23 June 2020.
  5. ^ "Members of the Centre for Machine Vision (CMV)". UWE Bristol. 5 October 2023. Retrieved 14 October 2023.
  6. ^ Smith, L. N.; Midha, P. S. (1997). "Computer simulation of morphology and packing behaviour of irregular particles, for predicting apparent powder densities". Computational Materials Science. 7 (4): 377–383. doi:10.1016/S0927-0256(97)00003-7. Retrieved 5 August 2020.
  7. ^ "3D facial recognition technology on the brink of commercial breakthrough". Mercia. 26 June 2017. Retrieved 23 June 2020.
  8. ^ "UWE leads the way in 3D facial recognition tech". bristol247.com. 19 June 2017. Retrieved 23 June 2020.
  9. ^ "You are your password: The world of biometrics". CNN. 12 February 2018. Retrieved 23 June 2020.
  10. ^ Baggaley, Kate (14 September 2017). "How Facial Recognition Systems Will Reshape Your Daily Life". NBC News. Retrieved 23 June 2020.
  11. ^ "FREE DOWNLOAD !! Wedmore Professor – Latest Book Now Available". The Isle of Wedmore. 1 December 2020. Retrieved 14 October 2023.

External links

Retrieved from "https://mdwiki.org/wiki/Lyndon_Smith_(academic)"