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Daniel Maestro-Watson
Daniel Maestro-Watson
Verified email at mondragon.edu
Title
Cited by
Cited by
Year
Anomaly detection and automatic labeling for solar cell quality inspection based on generative adversarial network
J Balzategui, L Eciolaza, D Maestro-Watson
Sensors 21 (13), 4361, 2021
222021
Deep learning for deflectometric inspection of specular surfaces
D Maestro-Watson, J Balzategui, L Eciolaza, N Arana-Arexolaleiba
International Joint Conference SOCO’18-CISIS’18-ICEUTE’18: San Sebastián …, 2019
142019
Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach
D Maestro-Watson, J Balzategui, L Eciolaza, N Arana-Arexolaleiba
Journal of Electronic Imaging 29 (4), 041007-041007, 2020
92020
LCD screen calibration for deflectometric systems considering a single layer refraction model
D Maestro-Watson, A Izaguirre, N Arana-Arexolaleiba
2017 IEEE International Workshop of Electronics, Control, Measurement …, 2017
92017
Deflectometric data segmentation based on fully convolutional neural networks
D Maestro-Watson, J Balzategui, L Eciolaza, N Arana-Arexolaleiba
Fourteenth International Conference on Quality Control by Artificial Vision …, 2019
72019
Depth Data Denoising in Optical Laser Based Sensors for Metal Sheet Flatness Measurement: A Deep Learning Approach
M Alonso, D Maestro, A Izaguirre, I Andonegui, M Graña
Sensors 21 (21), 7024, 2021
22021
3D inspection methods for specular or partially specular surfaces
D Maestro-Watson
Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2020
2020
A simple deflectometric method for measurement of Quasi-Plane specular surfaces
D Maestro-Watson, A Izaguirre, N Arana-Arexolaleiba, A Iturrospe
2015 IEEE International Workshop of Electronics, Control, Measurement …, 2015
2015
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