Mathematical modeling of advanced multi-device vision systems
Clave: 23B8391
No. de horas: 72
Créditos: No disponible
Tipo de asignatura: Optativa
Fecha de elaboración: 2023-10-19
Objetivo general:
The thematic content covers theoretical concepts organized in order of increasing complexity to design and calibrate modern digital vision systems. Students develop didactic activities per thematic unit to reinforce the understanding of abstract concepts as well as to improve their computational implementation skills.
Temas:
1. Introduction
2. Advance imaging devices
3. Multi-device imaging systems
4. Applications
Bibliografía:
1. Peter Corke, Robotic vision. Fundamental algorithms in Matlab, Springer, 2022.
2. Scott E. Umbaugh, Computer vision and image analysis: Digital Image Processing and Analysis, 4th Ed. CRC Press, 2023.
3. Xiang Gao and Tao Zhang, Introduction to Visual SLAM: From Theory to Practice, Springer, 2021.
4. Janusz Bedkowski, Large-Scale Simultaneous Localization and Mapping, Springer, 2022.
5. T. Luhmann, S. Robson, S. Kyle, and J. Boehm, Close-Range Photogrammetry and 3D Imaging, 3rd Ed., Gruyter, 2020.
6. J. Chen, B. Jia, and K. Zhang, Multi-view geometry based visual perception and control of robotic systems, CRC Press, 2018.
7. Richard Leach, Advances in optical form and coordinate metrology, IOP Publishing Ltd, 2020.
8. Richard Leach, Advances in optical surface texture metrology, IOP Publishing Ltd, 2020.
9. Wolfgang Osten, Optical Inspection of Microsystems, CRC Press, 2020.
10. Stephen Rolt, Optical Engineering Science, Wiley, 2020.
11. G. Farin and D. Hansford, Practical Linear Algebra: A Geometry Toolbox, 4th Ed., CRC Press, 2022.
12. David A. Forsyth and Jean Ponce, Computer Vision: A Modern Approach, 2nd Ed., Pearson Education, 2012.
13. Zhang, S., High-Speed 3D Imaging with Digital Fringe Projection Techniques, CRC Press, 2016.
14. Zhang, S. (Ed.), Handbook of 3D Machine Vision: Optical Metrology and Imaging, CRC Press, 2013.
15. Yoshizawa, T. (Ed.), Handbook of Optical Metrology: Principles and Applications, CRC Press, 2015.
16. B. Cyganek and J. Siebert, An Introduction to 3D Computer Vision Techniques and Algorithms, John Wiley & Sons, 2009.
17. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd Ed., Cambridge University Press, 2003.