Dr MOHAMMED ISA's Outputs (5)

Comparison of point cloud densification from multi-view stereo and 3D Gaussian splatting in industrial photogrammetry (2024)
Presentation / Conference Contribution
Yang, M. H., Isa, M. A., Thompson, A., Branson III, D. T., & Piano, S. (2024, October). Comparison of point cloud densification from multi-view stereo and 3D Gaussian splatting in industrial photogrammetry. Presented at 20th International Conference on Precision Engineering (ICPE 2024), Sendai, Japan

Photogrammetry is increasingly popular in the modern manufacturing industry, for performing non-contact fast optical measurements of manufactured components. During photogrammetry, the goal is to obtain accurate three-dimensional reconstructions of a... Read More about Comparison of point cloud densification from multi-view stereo and 3D Gaussian splatting in industrial photogrammetry.

Applying machine learning to optical metrology: a review (2024)
Journal Article
Xue, R., Hooshmand, H., Isa, M., Piano, S., & K Leach, R. (2024). Applying machine learning to optical metrology: a review. Measurement Science and Technology, 36(1), Article 012002. https://doi.org/10.1088/1361-6501/ad7878

This literature review investigates the integration of machine learning (ML) into optical metrology, unveiling enhancements in both efficiency and effectiveness of measurement processes. With a focus on phase demodulation, unwrapping, and phase-to-he... Read More about Applying machine learning to optical metrology: a review.

Evaluating approximate and rigorous scattering models in virtual coherence scanning interferometry for improved surface topography measurement (2024)
Presentation / Conference Contribution
Hooshmand, H., Isa, M. A., Nikolaev, N., Piano, S., & Leach, R. (2024, August). Evaluating approximate and rigorous scattering models in virtual coherence scanning interferometry for improved surface topography measurement. Presented at Optical Manufacturing and Testing 2024, San Diego, USA

In optical metrology, the growing demand for accurate measurement technologies is driven by the increasing applications of three-dimensional (3D) microscopy and imaging. The advancement of these technologies relies on the modelling of the measurement... Read More about Evaluating approximate and rigorous scattering models in virtual coherence scanning interferometry for improved surface topography measurement.

Machine learning-based envelope extraction from downsampled coherence scanning interferometry signal data (2024)
Presentation / Conference Contribution
Xue, R., Hooshmand, H., Isa, M., & Leach, R. (2024, September). Machine learning-based envelope extraction from downsampled coherence scanning interferometry signal data. Presented at Special Interest Conference: Structured & Freeform Surfaces, Nottingham, UK

Interval Type-2 Fuzzy Logic Control of Linear Stages in Feedback-Error-Learning Structure Using Laser Interferometer (2024)
Journal Article
Khanesar, M. A., Yan, M., Karaca, A., Isa, M., Piano, S., & Branson, D. (2024). Interval Type-2 Fuzzy Logic Control of Linear Stages in Feedback-Error-Learning Structure Using Laser Interferometer. Energies, 17(14), Article 3434. https://doi.org/10.3390/en17143434

The output processer of interval type-2 fuzzy logic systems (IT2FLSs) is a complex operator which performs type-reduction plus defuzzification (TR+D) tasks. In this paper, a complexity-reduced yet high-performance TR+D for IT2FLSs based on Maclaurin... Read More about Interval Type-2 Fuzzy Logic Control of Linear Stages in Feedback-Error-Learning Structure Using Laser Interferometer.