Prof. Laurence G. Hassebrook Profile

Prof. Laurence G. Hassebrook

SPIE Involvement:

Author | Editor

Publications (56)

SPIE Journal Paper | 20 August 2014

Depth matched transfer function of the modified composite pattern structured light illumination method

Charles Casey, Laurence Hassebrook, Minghao Wang

OE, Vol. 53, Issue 11, 112215, (August 2014) https://doi.org/10.1117/12.10.1117/1.OE.53.11.112215

KEYWORDS: Microchannel plates, Image processing, Modulation, Composites, Cameras, Binary data, 3D acquisition, Illumination engineering, Laser imaging, Structured light

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Proceedings Article | 5 May 2014 Paper

A novel two-pattern full lateral resolution structured light illumination method

Minghao Wang, Laurence Hassebrook

Proceedings Volume 9094, 90940H (2014) https://doi.org/10.1117/12.2050520

KEYWORDS: Microchannel plates, Composites, Modulation, Phase shift keying, Cameras, Laser imaging, Projection systems, Binary data, Image filtering, Structured light

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Proceedings Article | 31 May 2013 Paper

Performance characterization of structured light-based fingerprint scanner

Laurence Hassebrook, Minghao Wang, Raymond Daley

Proceedings Volume 8712, 871205 (2013) https://doi.org/10.1117/12.2018980

KEYWORDS: Laser imaging, Fourier transforms, Sensors, 3D metrology, Distortion, 3D image processing, Modulation, Scanners, Ronchi rulings, Structured light

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Proceedings Article | 5 May 2012 Paper

Full-hand 3D non-contact scanner using sub-window-based structured light-illumination technique

Veeraganesh Yalla, Laurence Hassebrook, Ray Daley, Colby Boles, Mike Troy

Proceedings Volume 8371, 83711O (2012) https://doi.org/10.1117/12.919203

KEYWORDS: Cameras, 3D scanning, Laser imaging, Scanners, Laser scanners, Projection systems, Calibration, 3D image processing, Imaging systems, Structured light

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Proceedings Article | 20 May 2011 Paper

Automated modified composite pattern single image depth acquisition

Charles Casey, Laurence Hassebrook

Proceedings Volume 8043, 80430H (2011) https://doi.org/10.1117/12.881972

KEYWORDS: Composites, Image processing, Binary data, 3D modeling, Modulation, Microchannel plates, Laser imaging, Cameras, Image compression, Structured light

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Proceedings Article | 26 April 2011 Paper

Distortion-insensitive correlation constellation detection

Charles Casey, Laurence Hassebrook, Eli Crane, Aaron Davidson

Proceedings Volume 8055, 80550A (2011) https://doi.org/10.1117/12.881977

KEYWORDS: Image processing, Image filtering, Composites, Sensors, Fingerprint recognition, Target detection, Signal detection, Electronic filtering, Clouds, Binary data

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Proceedings Article | 11 February 2011 Paper

Non-contact 3D fingerprint scanner using structured light illumination

Mike Troy, Laurence Hassebrook, Veeraganesh Yalla, Raymond Daley

Proceedings Volume 7932, 79320C (2011) https://doi.org/10.1117/12.874030

KEYWORDS: 3D scanning, Laser scanners, Databases, Laser imaging, 3D printing, Image quality, Biometrics, Scanners, Projection systems, Structured light

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Proceedings Article | 8 September 2010 Paper

High-quality 3D fingerprint acquisition using a novel sub-window-based structured light illumination approach

Veeraganesh Yalla, Ray Daley, Colby Boles, Laurence Hassebrook, Kyle Fleming, Mike Troy

Proceedings Volume 7797, 77970R (2010) https://doi.org/10.1117/12.855513

KEYWORDS: Cameras, Laser imaging, Projection systems, Image registration, Imaging systems, Volume rendering, 3D scanning, Calibration, 3D acquisition, Structured light

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SPIE Journal Paper | 1 July 2010

Quality and matching performance analysis of three-dimensional unraveled fingerprints

Yongchang Wang, Qi Hao, Abhishika Fatehpuria, Laurence Hassebrook, Daniel Lau

OE, Vol. 49, Issue 07, 077202, (July 2010) https://doi.org/10.1117/12.10.1117/1.3465571

KEYWORDS: Image quality, 3D image processing, 3D scanning, 3D acquisition, Scanners, 3D printing, Optical engineering, Sensors, Projection systems, Algorithm development

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Proceedings Article | 13 April 2009 Paper

Composite correlation filter for O-ring detection in stationary colored noise

Laurence Hassebrook

Proceedings Volume 7340, 734007 (2009) https://doi.org/10.1117/12.819437

KEYWORDS: Image filtering, Composites, Inspection, Sensors, Image processing, Human-machine interfaces, Optical filters, Manufacturing, Packaging, Computer architecture

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Proceedings Article | 13 April 2009 Paper

Correlation based swarm trackers for 3-dimensional manifold mesh formation

Charles Casey, Laurence Hassebrook, Priyanka Chaudhary

Proceedings Volume 7340, 73400G (2009) https://doi.org/10.1117/12.819420

KEYWORDS: Chemical elements, 3D image processing, Telecommunications, Nose, Human-computer interaction, 3D modeling, Data modeling, Laser imaging, 3D acquisition, Computer engineering

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SPIE Journal Paper | 1 September 2008

Improved composite-pattern structured-light profilometry by means of postprocessing

Chun Guan, Laurence Hassebrook, Daniel Lau, V. G. Yalla, Charles Casey

OE, Vol. 47, Issue 09, 097203, (September 2008) https://doi.org/10.1117/12.10.1117/1.2981559

KEYWORDS: Composites, Cameras, Projection systems, Image processing, 3D modeling, 3D image reconstruction, Modulation, Laser imaging, 3D image processing, Demodulation

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Proceedings Article | 7 May 2007 Paper

Facial feature tracking with the super image vector inner product

Wei Su, Laurence Hassebrook, S. Hariharan

Proceedings Volume 6566, 656618 (2007) https://doi.org/10.1117/12.719615

KEYWORDS: Image filtering, Composites, 3D modeling, Image segmentation, 3D scanning, Target detection, 3D image processing, Electronic filtering, Facial recognition systems, Image processing

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Proceedings Article | 3 May 2007 Paper

Super resolution structured light illumination

Laurence Hassebrook, Akshay Pethe, Charles Casey, Veera Ganesh Yalla, Daniel Lau

Proceedings Volume 6555, 655508 (2007) https://doi.org/10.1117/12.719703

KEYWORDS: Cameras, Spatial light modulators, Projection systems, Video, Laser imaging, Scanners, Digital Light Processing, Beam splitters, Super resolution, Structured light

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Proceedings Article | 3 May 2007 Paper

Multicamera phase measuring profilometry for accurate depth measurement

Yongchang Wang, Kai Liu, Qi Hao, Daniel Lau, Laurence Hassebrook

Proceedings Volume 6555, 655509 (2007) https://doi.org/10.1117/12.720068

KEYWORDS: Cameras, Projection systems, 3D acquisition, 3D modeling, Laser imaging, Imaging systems, Distortion, 3D vision, Phase matching, Structured light

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Proceedings Article | 12 April 2007 Paper

Performance analysis of three-dimensional ridge acquisition from live finger and palm surface scans

Abhishika Fatehpuria, Daniel Lau, Veeraganesh Yalla, Laurence Hassebrook

Proceedings Volume 6539, 653904 (2007) https://doi.org/10.1117/12.719891

KEYWORDS: Image quality, 3D scanning, Scanners, 3D acquisition, 3D image processing, Reliability, Biometrics, Sensors, Software development, Feature extraction

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Proceedings Article | 19 May 2006 Paper

Real-time composite pattern demodulation using optical correlators

Daniel Lau, Laurence Hassebrook, Thomas Lu, Tien-Hsin Chao

Proceedings Volume 6220, 62200F (2006) https://doi.org/10.1117/12.665902

KEYWORDS: Composites, Spatial light modulators, Laser imaging, Cameras, Video, Image processing, Modulation, Demodulation, Optical correlators, Structured light

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Proceedings Article | 19 May 2006 Paper

Expanding range of pulsed range sensors with active projection from spatial light modulators

Xiaodong Xun, Wei Su, Robert Cohn, Laurence Hassebrook, Daniel Lau

Proceedings Volume 6220, 62200I (2006) https://doi.org/10.1117/12.665843

KEYWORDS: Spatial light modulators, Cameras, Sensors, Diffraction, Complex systems, 3D image processing, Beam steering, Liquid crystals, Imaging systems, Active sensors

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Proceedings Article | 18 May 2006 Paper

Implementation of 3D linear phase coefficient composite filters

Delicia Woon, Laurence Hassebrook, Daniel Lau, ZhenZhou Wang

Proceedings Volume 6234, 62340I (2006) https://doi.org/10.1117/12.666392

KEYWORDS: Head, Composites, Linear filtering, Image filtering, Target detection, Clouds, Facial recognition systems, Error analysis, 3D acquisition, Distortion invariant pattern recognition

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Proceedings Article | 17 April 2006 Paper

Acquiring a 2D rolled equivalent fingerprint image from a non-contact 3D finger scan

Abhishika Fatehpuria, Daniel Lau, Laurence Hassebrook

Proceedings Volume 6202, 62020C (2006) https://doi.org/10.1117/12.666127

KEYWORDS: 3D scanning, 3D acquisition, 3D image processing, Sensors, Feature extraction, Image quality, Image acquisition, Biometrics, 3D modeling, Clouds

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Proceedings Article | 19 May 2005 Paper

Active pattern projection for increasing range of pulsed range sensors

Wei Su, Laurence Hassebrook, Daniel Lau

Proceedings Volume 5798, (2005) https://doi.org/10.1117/12.603886

KEYWORDS: Spatial light modulators, Cameras, Sensors, Infrared radiation, Camera shutters, Video, Signal to noise ratio, Light, Pulsed laser operation, Surveillance

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Proceedings Article | 19 May 2005 Paper

Very high resolution 3D surface scanning using multi-frequency phase measuring profilometry

Veera Ganesh Yalla, Laurence Hassebrook

Proceedings Volume 5798, (2005) https://doi.org/10.1117/12.603832

KEYWORDS: Cameras, 3D scanning, Projection systems, Calibration, Phase shifts, 3D modeling, 3D metrology, 3D acquisition, Laser imaging, Structured light

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Proceedings Article | 19 May 2005 Paper

Composite pattern structured light projection for human computer interaction in space

Chun Guan, Laurence Hassebrook, Daniel Lau, Veera Ganesh Yalla

Proceedings Volume 5798, (2005) https://doi.org/10.1117/12.603808

KEYWORDS: Composites, Cameras, Projection systems, Computer programming, 3D modeling, Reconstruction algorithms, Picosecond phenomena, 3D image processing, 3D image reconstruction, Structured light

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Proceedings Article | 2 November 2004 Paper

Multispectral color acquisition and display using commodity hardware

Daniel Lau, Ruigang Yang, Andrew Tan, Wei Su, Laurence Hassebrook

Proceedings Volume 5558, (2004) https://doi.org/10.1117/12.556525

KEYWORDS: Cameras, Projection systems, Video, Optical filters, RGB color model, Imaging systems, Displays, Image filtering, CCD cameras, Image registration

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Proceedings Article | 22 October 2004 Paper

Optical processing of composite pattern structured light projection for high-speed depth measurement

Chun Guan, Laurence Hassebrook, Daniel Lau

Proceedings Volume 5557, (2004) https://doi.org/10.1117/12.560260

KEYWORDS: Composites, Cameras, Image processing, Computer programming, Eye, Modulation, Image filtering, 3D image processing, Optical signal processing, Structured light

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Proceedings Article | 22 October 2004 Paper

Active multispot projection for object tracking and recognition

Wei Su, Laurence Hassebrook, Veera Yalla

Proceedings Volume 5557, (2004) https://doi.org/10.1117/12.560293

KEYWORDS: Optical tweezers, Optical flow, Particles, Image filtering, 3D modeling, Optical filters, Electronic filtering, Mathematical modeling, Object recognition, Spatial light modulators

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Proceedings Article | 14 August 2003 Paper

Real-time 3D data acquisition for augmented-reality man and machine interfacing

Chun Guan, Laurence Hassebrook, Daniel Lau

Proceedings Volume 5097, (2003) https://doi.org/10.1117/12.487276

KEYWORDS: 3D acquisition, Composites, Cameras, Human-computer interaction, Modulation, Video, Acquisition tracking and pointing, Human-machine interfaces, Projection systems, Structured light

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Proceedings Article | 6 August 2003 Paper

Multispot projection, tracking, and calibration

Veera Ganesh Yalla, Wei Su, Laurence Hassebrook

Proceedings Volume 5106, (2003) https://doi.org/10.1117/12.487442

KEYWORDS: Cameras, Projection systems, Calibration, 3D acquisition, 3D metrology, Spatial light modulators, Detection and tracking algorithms, Algorithm development, Target detection, 3D modeling

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Proceedings Article | 20 March 2001 Paper

Dynamic spot pattern projection to detect and track object motion

Laurence Hassebrook, Robert Cohn

Proceedings Volume 4387, (2001) https://doi.org/10.1117/12.421144

KEYWORDS: Sensors, Detection and tracking algorithms, Signal to noise ratio, Computer programming, Spatial light modulators, Phase only filters, System integration, Complex systems, Lithium, Image enhancement

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Proceedings Article | 29 June 2000 Paper

Robust SVD-based calibration of active range sensors

Jielin Li, Laurence Hassebrook

Proceedings Volume 4041, (2000) https://doi.org/10.1117/12.390489

KEYWORDS: Cameras, Calibration, Projection systems, Reconstruction algorithms, 3D modeling, Imaging systems, Active vision, Active sensors, Sensors, Structured light

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Proceedings Article | 31 March 2000 Paper

Registration of partially overlapping images using composite filters

Laurence Hassebrook, William Chimitt, Jielin Li

Proceedings Volume 4043, (2000) https://doi.org/10.1117/12.381600

KEYWORDS: Image filtering, Image registration, Composites, Photography, Linear filtering, Image resolution, Optical correlators, Digital filtering, Matrices, Reconstruction algorithms

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Proceedings Article | 23 March 1998 Paper

Automatic scene reconstruction from partially overlapping images using online filter design

William Chimitt, Laurence Hassebrook

Proceedings Volume 3386, (1998) https://doi.org/10.1117/12.304762

KEYWORDS: Image filtering, Image registration, Image segmentation, Optical correlators, Linear filtering, Image processing, Optical filters, Control systems, Composites, Cameras

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Proceedings Article | 10 December 1997 Paper

Application of communication theory to high-speed structured light illumination

Laurence Hassebrook, Raymond Daley, William Chimitt

Proceedings Volume 3204, (1997) https://doi.org/10.1117/12.294447

KEYWORDS: Communication theory, Telecommunications, Pattern recognition, Spatial light modulators, Modulation, Binary data, Computer programming, 3D acquisition, Data acquisition, Structured light

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SPIE Journal Paper | 1 October 1997

Postprocessing of correlation for orientation estimation

Laurence Hassebrook, Michael Lhamon, Mao Wang, Jyoti Chatterjee

OE, Vol. 36, Issue 10, (October 1997) https://doi.org/10.1117/12.10.1117/1.601519

KEYWORDS: Signal to noise ratio, Image filtering, Target detection, Distortion, Detection and tracking algorithms, Optical filters, Sensors, Linear filtering, Optical engineering, Electronic filtering

Proceedings Article | 27 March 1997 Paper

Strategy for autonomous control of correlation-based trackers

Laurence Hassebrook, Robert Cohn, Robert Duncan

Proceedings Volume 3073, (1997) https://doi.org/10.1117/12.270393

KEYWORDS: Detection and tracking algorithms, Image filtering, Digital signal processing, Signal to noise ratio, Spatial light modulators, Composites, Target detection, Charge-coupled devices, Electronic filtering, Linear filtering

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Proceedings Article | 20 January 1997 Paper

Improved light sectioning resolution by optimized thresholding

Raymond Daley, Laurence Hassebrook

Proceedings Volume 2909, (1997) https://doi.org/10.1117/12.263319

KEYWORDS: Spatial frequencies, Signal to noise ratio, Mathematical modeling, Binary data, Data modeling, Receivers, Systems modeling, Performance modeling, Error analysis, Structured light

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SPIE Journal Paper | 1 September 1996

Translation-invariant optical pattern recognition without correlation

Michael Lhamon, Laurence Hassebrook

OE, Vol. 35, Issue 09, (September 1996) https://doi.org/10.1117/12.10.1117/1.600835

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Proceedings Article | 15 March 1996 Paper

Complex spatial images for multiparameter distortion-invariant optical pattern recognition and high-level morphological transforms

Michael Lhamon, Laurence Hassebrook, Jyoti Chatterjee

Proceedings Volume 2752, (1996) https://doi.org/10.1117/12.235657

KEYWORDS: Image filtering, Target detection, Transform theory, Optical pattern recognition, Distortion, Image processing, Image segmentation, Signal to noise ratio, Matrices, Target recognition

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Proceedings Article | 16 June 1995 Paper

Topographical analysis with time-modulated structured light

Raymond Daley, Laurence Hassebrook, Stanley Tungate, John Jones, Hadley Reisig, Timothy Reed, Bryan Williams, Jerry Daugherty, Mark Bond

Proceedings Volume 2488, (1995) https://doi.org/10.1117/12.211989

KEYWORDS: Modulation, Signal to noise ratio, Light sources, Light, Receivers, Signal detection, Demodulation, Imaging systems, Binary data, Structured light

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Proceedings Article | 16 June 1995 Paper

Active image registration and recognition

Mao Wang, Laurence Hassebrook, John Kirsch, Joyce Evans, Charles Knapp

Proceedings Volume 2488, (1995) https://doi.org/10.1117/12.211988

KEYWORDS: Distortion, Image registration, Brain mapping, Magnetic resonance imaging, Design for manufacturing, Brain activation, Tolerancing, Brain, Human vision and color perception, Feature extraction

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Proceedings Article | 28 March 1995 Paper

Distortion-invariant optical pattern recognition without correlation

Michael Lhamon, Laurence Hassebrook, Raymond Daley

Proceedings Volume 2490, (1995) https://doi.org/10.1117/12.205785

KEYWORDS: Distortion, Image filtering, Electronic filtering, Linear filtering, Filtering (signal processing), Optical pattern recognition, Convolution, Optical filters, Composites, Target detection

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Proceedings Article | 28 March 1995 Paper

Distortion parameter estimation using complex distortion-invariant correlation filter bank responses

Laurence Hassebrook, Michael Lhamon, Mao Wang, Jyoti Chatterjee

Proceedings Volume 2490, (1995) https://doi.org/10.1117/12.205807

KEYWORDS: Signal to noise ratio, Distortion, Image filtering, Target detection, Detection and tracking algorithms, Optical filters, Niobium, Linear filtering, Electronic filtering, Sensors

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Proceedings Article | 1 March 1994 Paper

Complex linear morphology for intensity and distortion-invariant pattern recognition

Laurence Hassebrook, Mohammad Rahmati, Raymond Daley, Michael Lhamon

Proceedings Volume 2237, (1994) https://doi.org/10.1117/12.169439

KEYWORDS: Image filtering, Stereolithography, Linear filtering, Optical filters, Fractal analysis, Nonlinear filtering, Target detection, Image processing, Optical pattern recognition, Composites

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Proceedings Article | 1 March 1994 Paper

Using pseudorandom phase-only encoding to approximate fully complex distortion-invariant filters

Laurence Hassebrook, Michael Lhamon, Raymond Daley, Robert Cohn, Minhua Liang

Proceedings Volume 2237, (1994) https://doi.org/10.1117/12.169425

KEYWORDS: Phase only filters, Image filtering, Computer programming, Linear filtering, Transmittance, Composites, Spatial light modulators, Fourier transforms, Optical pattern recognition, Optical filters

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SPIE Journal Paper | 1 January 1994

Optimized three-dimensional recovery from two-dimensional images by means of sine wave structured light illumination

Laurence Hassebrook, Aswinikumar Subramanian, Prashant Pai

OE, Vol. 33, Issue 01, (January 1994) https://doi.org/10.1117/12.10.1117/12.149132

KEYWORDS: Fractal analysis, Scattering, Magnesium, Optical filters, Spatial frequencies, Modulation, Reticles, Image processing, Reconstruction algorithms, Structured light

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Proceedings Article | 25 October 1993 Paper

Training set selection with multiple out-of-plane rotation parameters

Laurence Hassebrook, Mohammad Rahmati

Proceedings Volume 1959, (1993) https://doi.org/10.1117/12.160308

KEYWORDS: Image filtering, Linear filtering, Distortion, Matrices, Composites, Solids, Optical pattern recognition, Electronic filtering, 3D modeling, 3D acquisition

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Proceedings Article | 25 October 1993 Paper

Automatic target recognition with intensity- and distortion-invariant hybrid composite filters

Mohammad Rahmati, Laurence Hassebrook, Bhagavatula Vijaya Kumar

Proceedings Volume 1959, (1993) https://doi.org/10.1117/12.160282

KEYWORDS: Image filtering, Composites, Linear filtering, Optical filters, Detection and tracking algorithms, Image segmentation, Target detection, Automatic target recognition, Distortion, Optical pattern recognition

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SPIE Journal Paper | 1 August 1993

Parametric and nonparametric edge detection for speckle degraded images

Kevin Donohue, Mohammad Rahmati, Laurence Hassebrook, P. Gopalakrishnan

OE, Vol. 32, Issue 08, (August 1993) https://doi.org/10.1117/12.10.1117/12.143717

KEYWORDS: Speckle, Edge detection, Sensors, Tissues, Statistical analysis, Ultrasonics, Image processing, Breast, Error analysis, Binary data

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Proceedings Article | 25 November 1992 Paper

Hybrid multitarget tracking system

Aswinikumar Subramanian, Laurence Hassebrook, Sugata Ghosal, Michael Kim

Proceedings Volume 1697, (1992) https://doi.org/10.1117/12.138166

KEYWORDS: Algorithm development, Quantization, Image processing, Databases, Reconnaissance systems, Control systems, Computer simulations, Detection and tracking algorithms, Fractal analysis, Defense and security

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Proceedings Article | 1 October 1992 Paper

Optimized 3D recovery from 2D images using sine-wave-structured lightillumination

Aswinikumar Subramanian, Laurence Hassebrook, Prashant Pai

Proceedings Volume 1705, (1992) https://doi.org/10.1117/12.138446

KEYWORDS: Fractal analysis, Image processing, Reflection, Optical filters, 3D image processing, Visualization, Fourier transforms, Modulation, Matrices, Structured light

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A common problem in manufacturing design is the accurate rendering of a 3-D object into a digitized 3-D representation. Such a rendering can be used to duplicate or modify existing objects as well as perform quality control and object recognition in automated manufacturing operations. There are several automated ways to retrieve 3-D information. If we limit our discussion to non-destructive computer vision techniques, these techniques include stereo- vision, orthogonal silhouette projection, gray level analysis, focal plane analysis, interferometric analysis, and structured light projection. In this paper we present a sine section structured light technique. This technique requires only one image of a surface area to process the topology, it is insensitive to reflected intensity variations and it can be accomplished with incoherent white light so it is insensitive to phase distortions caused by roughness. The sine section technique projects a sine wave image onto an object and recovers the local slopes (1st order) which are then combined to reconstruct the surface topology. This technique has the advantage over single slit structured light approaches which use position (0 order) information because it uses the entire area of a 2-D image as information for reconstruction. It has the advantage over multiple slits because, locally, it is the narrow-band frequency modulation of a sine wave. This decreases the side loop response. However globally it is a wide-band modulating technique (0 to infinite frequency) so an optimum frequency demodulation technique is developed which yields average slopes in local regions of the illuminated area. The performance of this technique appears to be very robust and insensitive to intensity- variations. It is also compatible with certain single slit projection techniques for 0 order recovery. In addition to this it yields local carrier frequencies which can be used with (2nd level processing) narrow-band phase demodulation techniques to recover higher resolution of surface variation. Results are presented for recovery of a second order surface corrupted by additive colored Gaussian spatial noise. The colored noise is generated with a fractal filter based on a fractal dimension parameter (beta) .

Proceedings Article | 1 July 1992 Paper

Tactile pattern recognition with complex linear morphology

Mohammad Rahmati, Laurence Hassebrook, Hsienchung Chi, Gongliang Guo, William Gruver

Proceedings Volume 1702, (1992) https://doi.org/10.1117/12.60547

KEYWORDS: Filtering (signal processing), Image filtering, Linear filtering, 3D image processing, Nonlinear filtering, 3D acquisition, Data processing, Matrices, Pattern recognition, Signal processing

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Proceedings Article | 1 July 1992 Paper

Hybrid composite filters for general distortion-invariant optical pattern recognition

Laurence Hassebrook, Mohammad Rahmati, Bhagavatula Vijaya Kumar

Proceedings Volume 1701, (1992) https://doi.org/10.1117/12.138331

KEYWORDS: Optical filters, Image filtering, Linear filtering, Detection and tracking algorithms, Optical pattern recognition, Composites, Matrices, Numerical analysis, Error analysis, Signal to noise ratio

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SPIE Journal Paper | 1 May 1992

Hybrid composite filter banks for distortion-invariant optical pattern recognition

Laurence Hassebrook, Mohammad Rahmati, Bhagavatula Vijaya Kumar

OE, Vol. 31, Issue 05, (May 1992) https://doi.org/10.1117/12.10.1117/12.56166

KEYWORDS: Image filtering, Detection and tracking algorithms, Linear filtering, Composites, Optical filters, Niobium, Signal to noise ratio, Matrices, Optical pattern recognition, Gaussian filters

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Proceedings Article | 1 December 1991 Paper

Distortion- and intensity-invariant optical correlation filter system

Mohammad Rahmati, Laurence Hassebrook, M. Bhushan

Proceedings Volume 1567, (1991) https://doi.org/10.1117/12.50839

KEYWORDS: Image filtering, Linear filtering, Distortion, Digital image processing, Matrices, Optical filters, Computer simulations, Composites, Signal to noise ratio, Target detection

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SPIE Journal Paper | 1 September 1990

Linear phase coefficient composite filter banks for distortion-invariant optical pattern recognition

Laurence Hassebrook, Bhagavatula Vijaya Kumar, Larry Hostetler

OE, Vol. 29, Issue 09, (September 1990) https://doi.org/10.1117/12.10.1117/12.55699

KEYWORDS: Image filtering, Composites, Linear filtering, Signal to noise ratio, Optical filters, Niobium, Optical pattern recognition, Error analysis, Distortion, 3D acquisition

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Proceedings Article | 1 September 1990 Paper

Trade-offs in nonlinearly recorded matched filters

Bhagavatula Vijaya Kumar, Laurence Hassebrook

Proceedings Volume 1296, (1990) https://doi.org/10.1117/12.21251

KEYWORDS: Electronic filtering, Signal to noise ratio, Phase only filters, Image filtering, Nonlinear filtering, Fourier transforms, Optical filters, Tolerancing, Optical signal processing, Composites

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Showing 5 of 56 publications

Proceedings Volume Editor (1)

SPIE Conference Volume | 4 June 2013

Biometric and Surveillance Technology for Human and Activity Identification X

Conference Committee Involvement (19)

Optics and Photonics for Information Processing XVI

24 August 2022 | San Diego, California, United States

Optics and Photonics for Information Processing XV

4 August 2021 | San Diego, California, United States

Optics and Photonics for Information Processing XIV

23 August 2020 | Online Only, California, United States

Optics and Photonics for Information Processing XIII

13 August 2019 | San Diego, California, United States

Optics and Photonics for Information Processing XII

19 August 2018 | San Diego, California, United States

Optics and Photonics for Information Processing XI

7 August 2017 | San Diego, California, United States

Optics and Photonics for Information Processing X

29 August 2016 | San Diego, California, United States

Optics and Photonics for Information Processing IX

10 August 2015 | San Diego, California, United States

Optics and Photonics for Information Processing VIII

18 August 2014 | San Diego, California, United States

Optics and Photonics for Information Processing VII

28 August 2013 | San Diego, California, United States

Biometric and Surveillance Technology for Human and Activity Identification X

2 May 2013 | Baltimore, Maryland, United States

Optics and Photonics for Information Processing VI

15 August 2012 | San Diego, California, United States

Optics and Photonics for Information Processing V

24 August 2011 | San Diego, California, United States

Optics and Photonics for Information Processing IV

3 August 2010 | San Diego, California, United States

Optics and Photonics for Information Processing III

4 August 2009 | San Diego, California, United States

Optics and Photonics for Information Processing II

13 August 2008 | San Diego, California, United States

Optics and Photonics for Information Processing

28 August 2007 | San Diego, California, United States

Optical Information Systems IV

16 August 2006 | San Diego, California, United States

Optical Information Systems III

3 August 2005 | San Diego, California, United States

Showing 5 of 19 Conference Committees

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