Invariant Submerged Material Recognition with Fluorescence Lidar and Sparsity-Based Approaches

Mapping Intimacies ◽

10.1109/igarss47720.2021.9553021 ◽

2021 ◽

Author(s):

Stefania Matteoli ◽

Giovanni Corsini ◽

Marco Diani

Keyword(s):

Material Recognition

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Nanoporous Material Recognition via 3D Convolutional Neural Networks: Prediction of Adsorption Properties

The Journal of Physical Chemistry Letters ◽

10.1021/acs.jpclett.1c00293 ◽

2021 ◽

pp. 2279-2285

Author(s):

Eun Hyun Cho ◽

Li-Chiang Lin

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Adsorption Properties ◽

Nanoporous Material ◽

Material Recognition

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Surface IR Reflectance Estimation and Material Recognition using ToF Camera

2020 25th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr48806.2021.9412450 ◽

2021 ◽

Author(s):

SeokYeong Lee ◽

SeungKyu Lee

Keyword(s):

Material Recognition ◽

Ir Reflectance ◽

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Specific Features of Material Recognition by the Multi-Energy X-Ray Method

Russian Journal of Nondestructive Testing ◽

10.1134/s1061830919040119 ◽

2019 ◽

Vol 55 (4) ◽

pp. 308-321 ◽

Author(s):

S. P. Osipov ◽

E. Yu. Usachev ◽

S. V. Chakhlov ◽

S. A. Shchetinkin ◽

O. S. Osipov

Keyword(s):

X Ray ◽

Material Recognition

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Performance improvement of material recognition sensor using cubic spline interpolation

Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9) ◽

10.1109/imtc.1994.352057 ◽

2002 ◽

Author(s):

Lim Young Cheol ◽

Park Jong Kun ◽

Cho Kyung Young ◽

Kim Eui Sun ◽

Kim Tae Gon ◽

...

Keyword(s):

Performance Improvement ◽

Spline Interpolation ◽

Cubic Spline ◽

Cubic Spline Interpolation ◽

Material Recognition

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Material Recognition for Efficient Acquisition of Geometry and Reflectance

Computer Vision - ECCV 2014 Workshops - Lecture Notes in Computer Science ◽

10.1007/978-3-319-16199-0_23 ◽

2015 ◽

pp. 321-333 ◽

Author(s):

Michael Weinmann ◽

Reinhard Klein

Keyword(s):

Material Recognition

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Foreign object debris material recognition based on convolutional neural networks

EURASIP Journal on Image and Video Processing ◽

10.1186/s13640-018-0261-2 ◽

2018 ◽

Vol 2018 (1) ◽

Author(s):

Haoyu Xu ◽

Zhenqi Han ◽

Songlin Feng ◽

Han Zhou ◽

Yuchun Fang

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Foreign Object ◽

Material Recognition

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View Dependent Surface Material Recognition

Advances in Visual Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33720-9_12 ◽

2019 ◽

pp. 156-167

Author(s):

Stanislav Mikeš ◽

Michal Haindl

Keyword(s):

Surface Material ◽

Material Recognition

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A 4D Light-Field Dataset and CNN Architectures for Material Recognition

Computer Vision – ECCV 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-46487-9_8 ◽

2016 ◽

pp. 121-138 ◽

Author(s):

Ting-Chun Wang ◽

Jun-Yan Zhu ◽

Ebi Hiroaki ◽

Manmohan Chandraker ◽

Alexei A. Efros ◽

...

Keyword(s):

Light Field ◽

Material Recognition

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Principal component-based material recognition using laser speckle on an embedded platform

Vertical-Cavity Surface-Emitting Lasers XXV ◽

10.1117/12.2582709 ◽

2021 ◽

Author(s):

Parama Pal ◽

Rishikesh Kulkarni ◽

Aishwarya SN

Keyword(s):

Principal Component ◽

Laser Speckle ◽

Material Recognition ◽

Embedded Platform

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Multifunctional Soft Robotic Finger Based on a Nanoscale Flexible Temperature–Pressure Tactile Sensor for Material Recognition

ACS Applied Materials & Interfaces ◽

10.1021/acsami.1c17923 ◽

2021 ◽

Author(s):

Wentuo Yang ◽

Mengying Xie ◽

Xiaoshuang Zhang ◽

Xueyou Sun ◽

Cheng Zhou ◽

...

Keyword(s):

Tactile Sensor ◽

Material Recognition

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