• Launay A. , Perrin P. , Hirsch E. : Vision based evaluation of the contamination level in high resolution images for industrial and clinical quality control applications
• Muzeau J. , Ladret P. , Bertolino P. : Linear classification of chairlift images for presence analysis
• Hase N. , Ito S. , Kaneko N. , Sumi K. : Data augmentation for intra-class imbalance with generative adversarial network
• Belhadj D. , Nuzillard D. , Vrabie V. , Haddad M. : Method for image registration of symmetrical objects with changing edges and less structural information

• Miranda J. , Veith J., Lanier S. , Herbulot A. , Devy M. : Machine learning approaches for defect classification on aircraft fuselage images acquired by an UAV
• Maestro-Watson D. , Balzategui J. , Eciolaza L. , Arana-Arexolaleiba N. : Deflectometric data segmentation based on fully convolutional neural networks
• Castro, Y. , Pitard G. , Le Goïc G , Mansouri A. : Spatial light distribution calibration in RTI imaging by WLS regression based on local density estimation
• Mori, N. , Takemura N. , Yagi Y. : Pseudo normal image generation for anomaly detection on road surface
• Barre A.-L. , Laulanié L. , Varriot V. , Viquerat B. , Pommiès M.  : Moisture measurement for quality and control applications

Optical metrology based on coherent phase imaging. Applications to 3D deformation measurements and vibrations analysis.

• Swiderski W. , Pracht M.  : Principal component analysis in non-destructive testing by a ultrasonic thermography method of multi-layered aramid composite
• Baghbanpourasl A. , Traxler G. , Meyer-Heye P. , Eitzinger C. : Phase detection of an alternating laser heat source in thermographic images using Bayesian recursive filtering
• Foucault L. , Verrier N. , Debailleul M. , Simon B. , Haeberlé O. : A simplified approach for tomographic diffractive microscopy

• Marino S. , Smolarz A. , Beauseroy P. : Potato defect localization and classification with convolutional neural networks
• Fantinel R. , Cenedese A. : Visual inspection for metallic surfaces: CNN driven by features
• Langlois J. , Mouchère H. , Normand N. , Viard-Gaudin C. : On the fly generated data for industrial part orientation estimation with deep neural networks
• Sireyjol R. , Granberg P. , Shimada A. , Minematsu T. , Taniguchi R. : Identifying solar panel defects with a CNN
• Errami, M. , Rziza M. , Haboub A. : Improving pedestrian detection using convolutional neural network and saliency detection

• Sun S., Lee E.-H. : Small target tracking using KCF and adaptive thresholding
• Jebali E. , Richard N. , Fernandez-Maloigne C. , Naouai M. : Stability of the metrological texture feature using colour contrast occurrence matrix
• Belhadj D. , Nuzillard D. , Vrabie V. , Haddad M. : Recurrent ensemble boosting based method for detecting small and transparent foreign bodies in semi-opaque containers
• Hermann T. , Migniot C. , Aubreton O. : Cracks detection on glass objet based on active thermography approach

The reception do not include meal

• Muniategui A. , Garcia de la Year A. , Ander del Barrio J. , Angulo X. , Moreno R. : Mass production quality control of welds based on image processing and deep learning in safety components industry
• Strubel D. , Blanchon M. , Morel O. , Fofi D. : Deep learning approach for artefacts correction on photographic films
• Zambal S. , Heindl C. , Eitzinger C. : How can we use deep learning for quality control with little data ?
• Tout K. , Bouabdellah M. , Cudel C. , Urban J.-P. : Automated vision system for crankshaft inspection using deep learning approaches
• Matsuoka, Y. , Sato J. , Kato K. : Training time reduction for network architecture search using genetic algorithm

• Stahl J. , Nilsson S. : Quick roughness evaluation of cut edges using a convolutional neural network
• El Kabir T. , Bringier B. , Khoudeir M. , Lecron J.-C. , Morel F. , Jégou J.-F. : Non invasive control and scoring of psoriasis severity
• Barati S. B. , Martin H. , Pinoli J.-C. , Valette S. , Gavet Y. : Binarization the gray scale images of the droplets during dropwise condensation on textured surfaces
• Belhadj D. , Nuzillard D. , Vrabie V. , Haddad M. : Kurtosis-based connected components method for detecting small and transparent foreign bodies in semi opaque bottles
• Goto K. , Kato K. , Nakatsuka S. , Sait T. , Aizawa H. : Anomaly detection of solder joint on print circuit board by using adversarial autoencoder

An optical perspective on light field imaging

• Ben Abdallah H. , Orteu J.-J. , Jovancevic I. , Dolives B. : 3D point cloud analysis for automatic inspection of an aeronautical mechanical assembly
• Rebert M. , Monnin D. , Bazeille S. , Cudel C. : Methodology for the evaluation of visual odometry systems
• Ji Y. , Yamashita A. Umeda K. , Asama H. : Automatic camera pose estimation based on a flat surface map
• Tarpau C. , Nguyen M. K. : Scattering imaging system with dual configuration

• Rezaei A. , Aldéa E. , Dondi P. , Malagodi M. , Le Hégarat S. : Detecting alterations in historical violins with optical monitoring
• Deborah H. , Richard N. , Hardeberg J. Y. : Application of spectral statistics to surface defect detection
• Meguenani A. , Chambard J.-P. , Maillot Y. , Cudel C. : Inline inspection of large-scale surfaces using deflectometry
• Yan Y. , Kaneko S. , Xiang S. , Asano H. : Unsupervised accumulated aggregation shifting for robust defect detection in real industry
• Nurit M. , Le Goïc G. , Favrelière H. , Mansouri A. : High dynamic reflectance transformation imaging: an adaptative multi-light approach for the assessment of surfaces visual quality

• Queau Y. , Leporcq F. , Alfalou A. : Optical classification of materials based on polarimetric imaging
• Zanzouri A. , Aubreton O. , Mathieu A. , Stolz C. : Using polarimetric imaging for automatic segmentation of weld pool
• Giménez Y. , Lapray P.-J. , Foulanneau A. , Bigué L. : Calibration for polarization filter array cameras: recent advances
• Nagorny P. , Lacombe T. , Muller T. , Favrelière H. , Pillet M. , Pairel E. : Polarimetric imaging for quality control in injection molding
• Blin R. , Ainouz S. , Canu S. , Meriaudeau F. : Adapted learning for polarization-based car detection

• Yan S. , Ji Y. , Umeda K. : Home appliance operation system in user-definable command space by hand waving
• Sharara E. , Tsuji A. , Terada K. : Classification of hand over face gestures using deep learning
• Suga N. , Ito S. , Kaneko N. , Sumi K. : Multiple human tracking with dual cost graphs
• Mosqueron R. , Capitao F. , Bolomey L. , Gomez I. : New noise reduction method based on FPGA for a stereoscopic video system
• Zakeri F. , Bätz M. , Jaschke T. , Chuchvara A. , Keinert J. : Benchmarking of several disparity estimation algorithms for light field processing