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Human gesture recognition under degraded environments using 3D-integral imaging and deep learning
(Optical Society of America, 2020)
In this paper, we propose a spatio-temporal human gesture recognition algorithm under degraded conditions using three-dimensional integral imaging and deep learning. The proposed algorithm leverages the advantages of ...
Exploring some practical issues of SVM+: Is really privileged information that helps?
(Elsevier, 2014)
Learning using privileged information (LUPI) is a machine learning paradigm which aims at improving classification by taking advantage of information that is only available at training time —not at test time. SVM+ is an ...
Capsule Networks for Hyperspectral Image Classification
(IEEE, 2018-10)
Convolutional neural networks (CNNs) have recently exhibited an excellent performance in hyperspectral image classification tasks. However, the straightforward CNN-based network architecture still finds obstacles when ...
Hyperspectral Unmixing Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis
(IEEE, 2018-06)
This paper presents a novel approach for spectral unmixing of remotely sensed hyperspectral data. It exploits probabilistic latent topics in order to take advantage of the semantics pervading the latent topic space when ...
A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution
(IEEE, 2018-11)
Super-resolution (SR) brings an excellent opportunity to improve a wide range of different remote sensing applications. SR techniques are concerned about increasing the image resolution while providing finer spatial details ...
Deep Pyramidal Residual Networks for Spectral-Spatial Hyperspectral Image Classification
(IEEE, 2018-08)
Convolutional neural networks (CNNs) exhibit good performance in image processing tasks, pointing themselves as the current state-of-the-art of deep learning methods. However, the intrinsic complexity of remotely sensed ...
Hypnos: a Hardware and Software Toolkit for Energy-Aware Sensing in Low-Cost IoT Nodes
(Institute of Electrical and Electronics EngineersIEEE, 2022)
Through the Internet of Things, autonomous sensing
devices can be deployed to regularly capture environmental and
other sensor measurements for a variety of usage scenarios.
However, for the market segment of stand-alone, ...
Effects of mitigation of pixel crosstalk in the encoding of complex fields using the double-phase method
(Society of Photo-optical Instrumentation Engineers, 2020)
We report on unwanted effects of pixel cross-talk and its mitigation on the experimental realization
of the double-phase method with phase-only spatial light modulators. We experimentally demonstrate that a
generalized ...
Common-Path Dual-Comb Spectroscopy Using a Single Electro-Optic Modulator
(IEEE, 2020-09-15)
Dual frequency comb (DFC) spectroscopy using electro-optic comb generators stands out for its flexibility, easy implementation, and low cost. Typically, two combs with different line spacing are generated from a common ...
Single-pixel digital holography with phase-encoded illumination
(Optical Society of America, 2017-02-23)
We demonstrate imaging of complex amplitude objects through digital holography with phase-structured illumination and bucket detection. The object is sampled with a set of micro-structured phase patterns implemented onto ...