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Defect detection by a deep learning approach with active IR thermography.

, , , , , и . CoDIT, стр. 27-32. IEEE, (2022)

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Roberto Klimmek

Roberto Castello

Roberto Ohrt

Roberto Cattaneo

Roberto Menegazzo

 

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In-field high throughput grapevine phenotyping with a consumer-grade depth camera., , , и . Comput. Electron. Agric., (2019)Analysis of indoor environments by range images., , , , , и . ICST, стр. 163-168. IEEE, (2013)3D Vision-Based Shelf Monitoring System for Intelligent Retail., , , , и . ICPR Workshops (2), том 12662 из Lecture Notes in Computer Science, стр. 447-459. Springer, (2020)Defect detection by a deep learning approach with active IR thermography., , , , , и . CoDIT, стр. 27-32. IEEE, (2022)Analytical Model Approximation for Defect Classification in Fiberglass Composites Inspected by Long-Pulse Thermography., , , , , и . ICIT, стр. 652-657. IEEE, (2020)Automatic detection of subsurface defects in composite materials using thermography and unsupervised machine learning., , , , и . IEEE Conf. on Intelligent Systems, стр. 516-521. IEEE, (2016)Microsoft Azure Kinect Calibration for Three-Dimensional Dense Point Clouds and Reliable Skeletons., , , и . Sensors, 22 (13): 4986 (2022)A human-driven control architecture for promoting good mental health in collaborative robot scenarios., , , , , , , , , и 5 other автор(ы). RO-MAN, стр. 285-291. IEEE, (2021)Image-Based Mobility Assessment in Elderly People from Low-Cost Systems of Cameras: A Skeletal Dataset for Experimental Evaluations., , , , , и . ADHOC-NOW, том 12338 из Lecture Notes in Computer Science, стр. 125-130. Springer, (2020)A 3D vision system for high resolution surface reconstruction., , , , , и . ICST, стр. 157-162. IEEE, (2013)