Prof. Melvyn L. Smith Profile

Prof. Melvyn L. Smith

at University of the West of England

SPIE Involvement:

Author

Publications (14)

Proceedings Article | 1 August 2021 Poster + Presentation + Paper

Contactless robust 3D palm-print identification using photometric stereo

Lyndon Smith, Max Langhof, Mark Hansen, Melvyn Smith

Proceedings Volume 11842, 1184227 (2021) https://doi.org/10.1117/12.2595439

KEYWORDS: Feature extraction, 3D acquisition, Cameras, Biometrics, Picosecond phenomena, Databases, Skin, Visible radiation, Near infrared, Light emitting diodes

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Proceedings Article | 6 September 2019 Paper

Weed classification in grasslands using convolutional neural networks

Lyndon Smith, Arlo Byrne, Mark Hansen, Wenhao Zhang, Melvyn Smith

Proceedings Volume 11139, 1113919 (2019) https://doi.org/10.1117/12.2530092

KEYWORDS: Data modeling, Convolutional neural networks, Performance modeling, Machine learning, Neural networks, Machine vision, Visual process modeling, Neurons, Sensors, Statistical modeling

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Proceedings Article | 8 February 2017 Paper

Overhead spine arch analysis of dairy cows from three-dimensional video

K. Abdul Jabbar, M. Hansen, M. Smith, L. Smith

Proceedings Volume 10225, 102250E (2017) https://doi.org/10.1117/12.2266094

KEYWORDS: Spine, Video, Neck, 3D image processing, Cameras, Gait analysis, Head, 3D metrology, Image processing, Image filtering

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Proceedings Article | 13 October 2015 Paper

Long-range concealed object detection through active covert illumination

Ian Hales, David Williamson, Mark Hansen, Laurence Broadbent, Melvyn Smith

Proceedings Volume 9648, 964806 (2015) https://doi.org/10.1117/12.2190194

KEYWORDS: Cameras, Silicon, Light sources and illumination, Sensors, Picosecond phenomena, Facial recognition systems, Sun, Light emitting diodes, Fiber optic illuminators, Absorption

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A common surveillance problem is the automatic detection of objects concealed under clothing and the identification of those carrying them. As many 2D methods rely on texture information, the application of patterned clothing can be used to camouflage features that may provide a clue as to the shape of the object hidden beneath. Photometric stereo (PS) is a 3D surface reconstruction technique utilising several images of an object, lit from multiple directions, a particular advantage of which is that it reliably separates textural elements, such as printed patterns, from physical shape offering many possibilities for concealed object detection. The success of such a technique is primarily dependent on the ability to artificially illuminate the subject considerably more brightly than the ambient lighting. At night, this is readily plausible; and longer wavelength, near-infrared (nIR) lighting allows us to capture the images covertly. However in daytime, sunlight can prevent sufficient illumination of the subject to calculate the surface image, especially at long range. Certain wavelengths of light are attenuated by airborne moisture considerably more than others. By using a wavelength of light that is heavily attenuated by the atmosphere, in combination with a narrow bandpass filter, we show that it is possible to provide sufficient lighting contrast to perform PS over much longer distances than in previous work. We examine the 940nm wavelength, which falls within one of these spectral regions and evaluate sensor technology equipped with a “black silicon” CMOS, offering extreme light sensitivity, against cameras using traditional silicon sensors, with application to long distance surface reconstruction using PS. Having shown that we can produce reconstructions of considerably better quality than those from traditional cameras, we present several methods for the reliable detection of concealed objects and recognition of faces, using the high level of surface detail that PS can provide.

Proceedings Article | 14 September 2007 Paper

Lens production enhancement by adoption of artificial influence functions and a knowledge-based system in a magnetorheological finishing process

Elmar Pitschke, Peter Sperber, Rolf Rascher, Richard Stamp, Melvyn Smith, Lyndon Smith, Markus Schinhaerl

Proceedings Volume 6671, 66711J (2007) https://doi.org/10.1117/12.761356

KEYWORDS: Polishing, Neural networks, Magnetorheological finishing, Surface finishing, Manufacturing, Optics manufacturing, Polishing equipment, Magnetism, Control systems, Abrasives

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SPIE Journal Paper | 1 June 2006

Correlation between influence-function quality and predictability of a computer-controlled polishing process

Elmar Pitschke, Markus Schinhaerl, Peter Sperber, Rolf Rascher, Richard Stamp, Lyndon Smith, Melvyn Smith

OE, Vol. 45, Issue 06, 063401, (June 2006) https://doi.org/10.1117/12.10.1117/1.2213630

KEYWORDS: Polishing, Surface finishing, Photovoltaics, Magnetorheological finishing, Manufacturing, Optical engineering, Process modeling, Reliability, Applied sciences, Calibration

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Proceedings Article | 19 August 2005 Paper

A new approach to predict computer controlled polishing results

Elmar Pitschke, Markus Schinhaerl, Andreas Geiss, Peter Sperber, Rolf Rascher, Richard Stamp, Lyndon Smith, Melvyn Smith

Proceedings Volume 5869, 58690H (2005) https://doi.org/10.1117/12.616780

KEYWORDS: Polishing, Surface finishing, Process control, Computing systems, Photovoltaics, Optics manufacturing, Magnetorheological finishing, Applied sciences, Calibration, Reliability

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Proceedings Article | 14 October 2004 Paper

Comparison of a new contact topographical measurement system for spherical and aspherical surfaces with interferometry

Elmar Pitschke, Markus Schinhaerl, Peter Sperber, Rolf Rascher, Richard Stamp, Lyndon Smith, Melvyn Smith, Andreas Hammer

Proceedings Volume 5523, (2004) https://doi.org/10.1117/12.558899

KEYWORDS: Computer generated holography, Spherical lenses, Surface finishing, Interferometers, Optical spheres, Interferometry, Polishing, Diamond turning, Applied sciences, Magnetorheological finishing

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Proceedings Article | 22 December 2003 Paper

Prediction of MRF polishing by classification of the initial error with Zernike polynomials

Elmar Pitschke, Peter Sperber, Richard Stamp, Rolf Rascher, Lyndon Smith, Melvyn Smith, Markus Schinhaerl

Proceedings Volume 5180, (2003) https://doi.org/10.1117/12.507652

KEYWORDS: Polishing, Magnetorheological finishing, Surface finishing, Lenses, Zernike polynomials, Applied sciences, Abrasives, Magnetism, Optics manufacturing, Monochromatic aberrations

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Proceedings Article | 22 May 2003 Paper

Stereo vision technology for object measurement

Lyndon Smith, Melvyn Smith

Proceedings Volume 5011, (2003) https://doi.org/10.1117/12.477513

KEYWORDS: Cameras, Metrology, Machine vision, 3D image processing, Image segmentation, 3D metrology, Shape analysis, Distance measurement, Pattern recognition, Structured light

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Proceedings Article | 22 May 2003 Paper

Automated visual inspection for polished stone manufacture

Melvyn Smith, Lyndon Smith

Proceedings Volume 5011, (2003) https://doi.org/10.1117/12.477511

KEYWORDS: Surface finishing, Polishing, Inspection, Machine vision, 3D image processing, Reflectivity, Data acquisition, Light sources and illumination, Cameras, Light sources

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Proceedings Article | 19 March 2003 Paper

Overview of passive and active vision techniques for hand-held 3D data acquisition

Sreenivasa Mada, Melvyn Smith, Lyndon Smith, Prema Midha

Proceedings Volume 4877, (2003) https://doi.org/10.1117/12.463773

KEYWORDS: Sensors, Cameras, 3D acquisition, 3D scanning, Scanners, Active vision, Laser scanners, 3D image processing, Data acquisition, 3D metrology

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Proceedings Article | 12 February 2001 Paper

Innovative approach to surface inspection using an alliance of machine vision and computer graphical techniques

Melvyn Smith, Abdul Farooq, Lyndon Smith, Prema Midha

Proceedings Volume 4189, (2001) https://doi.org/10.1117/12.417206

KEYWORDS: Inspection, Machine vision, Reflectivity, Image segmentation, Computer graphics, Image analysis, Feature extraction, Cameras, Imaging systems, Data acquisition

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Proceedings Article | 11 October 2000 Paper

Vision system and three-dimensional modeling techniques for quantification of the morphology of irregular particles

Lyndon Smith, Melvyn Smith

Proceedings Volume 4197, (2000) https://doi.org/10.1117/12.403785

KEYWORDS: Particles, Monte Carlo methods, 3D modeling, Visual process modeling, Optical spheres, Computer simulations, Phase modulation, Manufacturing, Data modeling, 3D image processing

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Showing 5 of 14 publications

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