A neural network approach for selection of powder metallurgy materials and process parameters. - R. P. Cherian; Lyndon N. Smith; P. Sagar Midha (Artif. Intell. Eng., 2000)

The Virtual Point Light Source Model the Practical Realisation of Photometric Stereo for Dynamic Surface Inspection. - Lyndon N. Smith; Melvyn L. Smith (ICIAP, 2005)

Dynamic Photometric Stereo. - Melvyn L. Smith; Lyndon N. Smith (ICIAP, 2005)

Dynamic photometric stereo for on line quality control of ceramic tiles. - Abdul R. Farooq; Melvyn L. Smith; Lyndon N. Smith; P. Sagar Midha (Comput. Ind., 2005)

Robust and efficient automated detection of tooling defects in polished stone. - J. R. J. Lee; Melvyn L. Smith; Lyndon N. Smith; P. Sagar Midha (Comput. Ind., 2005)

Special issue on Machine Vision. - Melvyn L. Smith; Lyndon N. Smith (Comput. Ind., 2005)

Dynamic photometric stereo - a new technique for moving surface analysis. - Melvyn L. Smith; Lyndon N. Smith (Image Vis. Comput., 2005)

Automatic machine vision calibration using statistical and neural network methods. - Lyndon N. Smith; Melvyn L. Smith (Image Vis. Comput., 2005)

A mathematical morphology approach to image based 3D particle shape analysis. - Jason R. J. Lee; Melvyn L. Smith; Lyndon N. Smith; P. Sagar Midha (Mach. Vis. Appl., 2005)

Computer vision applications - Special issue. - Melvyn L. Smith; Lyndon N. Smith (Image Vis. Comput., 2007)

Examining the uncertainty of the recovered surface normal in three light photometric stereo. - Jiuai Sun; Melvyn L. Smith; Lyndon N. Smith; Abdul R. Farooq (Image Vis. Comput., 2007)

Object surface recovery using a multi-light photometric stereo technique for non-Lambertian surfaces subject to shadows and specularities. - Jiuai Sun; Melvyn L. Smith; Lyndon N. Smith; P. Sagar Midha; Jeff Bamber (Image Vis. Comput., 2007)

Concealed Object Perception and Recognition Using a Photometric Stereo Strategy. - Jiuai Sun; Melvyn L. Smith; Abdul R. Farooq; Lyndon N. Smith (ACIVS, 2009)

Facial Reconstruction and Alignment Using Photometric Stereo and Surface Fitting. - Gary A. Atkinson; Abdul R. Farooq; Melvyn L. Smith; Lyndon N. Smith (IbPRIA, 2009)

Facial Geometry Estimation Using Photometric Stereo and Profile Views. - Gary A. Atkinson; Melvyn L. Smith; Lyndon N. Smith; Abdul R. Farooq (ICB, 2009)

Segmentation of clinical lesion images using normalized cut. - Yu Zhou; Melvyn L. Smith; Lyndon N. Smith; Rob Warr (WIAMIS, 2009)

High speed, multi-scale tracing of curvilinear features with automated scale selection and enhanced orientation computation. - R. D. Wedowski; Abdul R. Farooq; Lyndon N. Smith; Melvyn L. Smith (HPCS, 2010)

3D face reconstructions from photometric stereo using near infrared and visible light. - Mark F. Hansen; Gary A. Atkinson; Lyndon N. Smith; Melvyn L. Smith (Comput. Vis. Image Underst., 2010)

A computer assisted diagnosis system for malignant melanoma using 3D skin surface texture features and artificial neural network. - Yi Ding; Lyndon N. Smith; Melvyn L. Smith; Jiuai Sun; Robert Warr (Int. J. Model. Identif. Control., 2010)

A efficient and practical 3D face scanner using near infrared and visible photometric stereo. - Gary A. Atkinson; Mark F. Hansen; Melvyn L. Smith; Lyndon N. Smith (Biometrics Technology, 2010)

The Photoface database. - Stefanos Zafeiriou; Mark F. Hansen; Gary A. Atkinson; Vasileios Argyriou; Maria Petrou; Melvyn L. Smith; Lyndon N. Smith (CVPR Workshops, 2011)

Biological Indexes Based Reflectional Asymmetry for Classifying Cutaneous Lesions. - Zhao Liu; Lyndon N. Smith; Jiuai Sun; Melvyn L. Smith; Robert Warr (MICCAI (3), 2011)

An Asymmetry Descriptor for Melanoma Diagnosis. - Zhao Liu; Jiuai Sun; Melvyn L. Smith; Robert Warr; Lyndon N. Smith (MIUA, 2011)

Enhanced 3D curvature pattern and melanoma diagnosis. - Yu Zhou; Melvyn L. Smith; Lyndon N. Smith; Abdul R. Farooq; Rob Warr (Comput. Medical Imaging Graph., 2011)

2.5D Facial Expression Recognition using Photometric Stereo and the Area Weighted Histogram of Shape Index. - Laurence Broadbent; Khemraj Emrith; Abdul R. Farooq; Melvyn L. Smith; Lyndon N. Smith (RO-MAN, 2012)

Distribution quantification on dermoscopy images for computer-assisted diagnosis of cutaneous melanomas. - Zhao Liu; Jiuai Sun; Lyndon N. Smith; Melvyn L. Smith; Robert Warr (Medical Biol. Eng. Comput., 2012)

Combinatorial photometric stereo and its application in 3D modeling of melanoma. - Yu Zhou; Melvyn L. Smith; Lyndon N. Smith; Robert Warr (Mach. Vis. Appl., 2012)

Real-time recovery of moving 3D faces for emerging applications. - Khemraj Emrith; Laurence Broadbent; Lyndon N. Smith; Melvyn L. Smith; Julio Molleda (Comput. Ind., 2013)

An improved 3D imaging system for dimensional quality inspection of rolled products in the metal industry. - Julio Molleda; Rubén Usamentiaga; Daniel F. García; Francisco G. Bulnes; Adrián Espina; Bassiru Dieye; Lyndon N. Smith (Comput. Ind., 2013)

Editorial. - Melvyn L. Smith; Lyndon N. Smith (Comput. Ind., 2013)

Face Recognition and Verification Using Photometric Stereo: The Photoface Database and a Comprehensive Evaluation. - Stefanos Zafeiriou; Gary A. Atkinson; Mark F. Hansen; William A. P. Smith; Vasileios Argyriou; Maria Petrou; Melvyn L. Smith; Lyndon N. Smith (IEEE Trans. Inf. Forensics Secur., 2013)

Non-Contact Pulmonary Functional Testing Through an Improved Photometric Stereo Approach. - Jahanzeb Ahmad; Jiuai Sun; Lyndon N. Smith; Melvyn L. Smith (MIUA, 2014)

An improved photometric stereo through distance estimation and light vector optimization from diffused maxima region. - Jahanzeb Ahmad; Jiuai Sun; Lyndon N. Smith; Melvyn L. Smith (Pattern Recognit. Lett., 2014)

Combination of 3D skin surface texture features and 2D ABCD features for improved melanoma diagnosis. - Yi Ding; Nigel W. John; Lyndon N. Smith; Jiuai Sun; Melvyn L. Smith (Medical Biol. Eng. Comput., 2015)

Gender and gaze gesture recognition for human-computer interaction. - Wenhao Zhang 006; Melvyn L. Smith; Lyndon N. Smith; Abdul R. Farooq (Comput. Vis. Image Underst., 2016)

Visual features based boosted classification of weeds for real-time selective herbicide sprayer systems. - Jamil Ahmad; Khan Muhammad 001; Imran Ahmed 002; Wakeel Ahmad; Melvyn L. Smith; Lyndon N. Smith; Deepak Kumar Jain 001; Haoxiang Wang 001; Irfan Mehmood (Comput. Ind., 2018)

Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device. - Mark F. Hansen; Melvyn L. Smith; Lyndon N. Smith; K. Abdul Jabbar; D. Forbes (Comput. Ind., 2018)

Towards on-farm pig face recognition using convolutional neural networks. - Mark F. Hansen; Melvyn L. Smith; Lyndon N. Smith; Michael G. Salter; Emma M. Baxter; Marianne Farish; Bruce Grieve (Comput. Ind., 2018)

Special issue on: Machine vision for outdoor environments. - Melvyn L. Smith; Lyndon N. Smith (Comput. Ind., 2018)

Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field. - Lyndon N. Smith; Wenhao Zhang 006; Mark F. Hansen; Ian Hales; Melvyn L. Smith (Comput. Ind., 2018)

Photometric stereo for three-dimensional leaf venation extraction. - Wenhao Zhang 006; Mark F. Hansen; Melvyn L. Smith; Lyndon N. Smith; Bruce Grieve (Comput. Ind., 2018)

Understanding Unconventional Preprocessors in Deep Convolutional Neural Networks for Face Identification. - Chollette C. Olisah; Lyndon N. Smith (CoRR, 2019)

The quiet revolution in machine vision - a state-of-the-art survey paper, including historical review, perspectives, and future directions. - Melvyn L. Smith; Lyndon N. Smith; Mark F. Hansen (Comput. Ind., 2021)

Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective. - Chollette C. Olisah; Lyndon N. Smith; Melvyn L. Smith (Comput. Methods Programs Biomed., 2022)

Estimating Water Storage from Images. - Ajmal Shahbaz; Syed Younas; Lyndon N. Smith; Chad Staddon (IEEE Big Data, 2023)

Machine Vision and Deep Learning for Robotic Harvesting of Shiitake Mushrooms. - Thomas E. Rowland; Mark F. Hansen; Melvyn L. Smith; Lyndon N. Smith (ISVC (2), 2024)

Corn Yield Prediction Model with Deep Neural Networks for Smallholder Farmer Decision Support System. - Chollette C. Olisah; Lyndon N. Smith; Melvyn L. Smith; Lawrence Morolake; Osi Ojukwu (CoRR, 2024)

Deep Learning-Based Classification of Stress in Sows Using Facial Images. - Syed U. Yunas; Ajmal Shahbaz; Emma M. Baxter; Marianne Farish; Kenneth M. D. Rutherford; Mark F. Hansen; Melvyn L. Smith; Lyndon N. Smith (BIOSTEC (1), 2025)

Deep Learning-Based Image Recovery and Pose Estimation for Resident Space Objects. - Louis Aberdeen; Mark F. Hansen; Melvyn L. Smith; Lyndon N. Smith (CoRR, 2025)