[1] Pellegrinelli S, Cenati C, Cevasco L, Giannini F, Lupinetti K, Monti M, Parazzoli D , Tosatti LM (2017) Configuration and inspection of multi-fixturing pallets in flexible manufacturing systems evolution of the network part program approach. Robot Cim-Int Manuf 1-11.
[2] Zhang X, Tian X, Yamazaki K (2010) On-machine 3D vision system for machining setup modeling. Int J Adv Manuf Technol 48: 251-265.
[3] Rafiq A, Stephane T, Hascoet JY (2010) Integration of vision based image processing for multi-axis CNC machine tool safe and efficient trajectory generation and collision avoidance. J Mech Eng 10.
[4] Okarma K, Grudziński M (2012) The 3D scanning system for the machine vision based positioning of workpieces on the CNC machine tools. Methods and Models in Automation and Robotics (MMAR) 17th International Conference 85-90.
[5] Domek S, Dworak P, Grudziński M, Okarma K (2013) Calibration Of cameras and fringe pattern projectors in the vision system for positioning of workpieces on the CNC machines. Solid State Phenomena (SSP) 229-234.
[6] Karabagli B, Simon T, Orteu J (2015) A new chain-processing-based computer vision system for automatic checking of machining set-up application for machine tools safety. Int J Adv Manuf Technol 82: 1547-1568.
[7] Xu L, Fan F, Hu Y, Zhang Z, Hu D (2020) A vision-based processing methodology for profile grinding of contour surfaces. J Eng Manuf 1-13.
[8] Mun Fong K, Wang X, Kamaruddin S, Ismadi MZ (2021) Investigation on universal tool wear measurement technique using image-based cross-correlation analysis. Measurment 169.
[9] Aguilar JJ, Torres F, Lope MA (1996) Stereo vision for 3D measurement: accuracy analysis, calibration and industrial applications. Measurment 18: 193-200.
[10] Kazmi W, Foix S, Aleny`a G, Andersen HJ (2014) Indoor and outdoor depth imaging of leaves with time-of-flight and stereo vision sensors: Analysis and comparison. ISPRS J Photogramm Remote Sens 88: 128-146.
[11] Hamzah RA, Kadmin AF, Saad Hamid M, Ghani FA (2018) Improvement of stereo matching algorithm for 3D surface reconstruction. Signal Process Image Commun 65: 165-172.
[12] Yangao L, Wang B, Zhang B, Zhou H, Wang R (2018) Analysis on location accuracy for the binocular stereo vision system. IEEE Photonics J 10.
[13] FlusserJ, Zitova B (2003) Image registration methods: A survey. Image Vis Comput 21: 977-1000.
[14] Zhang Q, Wang Y ,Wang L (2015) Registration of images with affine geometric distortion based on maximally stable extremal regions and phase congruency. Image Vis Comput. 36: 23-39.
[15] Ghosh P, Pandey A ,Pati UC (2015) Comparison of different feature detection teqniques for image mosaising. ACCENTS Transactions on Image Processing and Computer Vision (TIPCV).
[16] Gholipour A, Kehtarnavaz N, Briggs R, Devous M ,Gopinath K (2007) Brain functional localization: A survey of image registration techniques. IEEE Trans Med Imaging 26: 427-451.
[17] Bolles MA, Fischler RC (1981) Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Commun ACM 24: 381-395.
[18] Xu G, Zhang Z (1996) Epipolar geometry in stereo motion and object recognition a unified approach. Dordrecht: Springer Netherlands.
[19] Monasse P, Morel JM, Tang Z (2010) Three-step image rectification. British Machine Vision Conference (BMVC).
[20] Bouguet JV (2018) www.mathworks.com mathworks, [Online]. Available: https://www.mathworks.com/help/vision/ug/camera-calibration.html.
[21] Zhang Z (2000) A flexible new technique for camera calibration. IEEE Trans Pattern Analysis and Machine Intelligence (PAMI) 22: 1330-1334.
)
