Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields PDF full book. Access full book title Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields by Schambach, Maximilian. Download full books in PDF and EPUB format.
Author: Schambach, Maximilian
Publisher: KIT Scientific Publishing
ISBN: 3731512106
Category : Technology & Engineering
Languages : en
Pages : 238
Get Book Here
Book Description
In dieser Arbeit werden spektral kodierte multispektrale Lichtfelder untersucht, wie sie von einer Lichtfeldkamera mit einem spektral kodierten Mikrolinsenarray aufgenommen werden. Für die Rekonstruktion der kodierten Lichtfelder werden zwei Methoden entwickelt, eine basierend auf den Prinzipien des Compressed Sensing sowie eine Deep Learning Methode. Anhand neuartiger synthetischer und realer Datensätze werden die vorgeschlagenen Rekonstruktionsansätze im Detail evaluiert. -In this work, spatio-spectrally coded multispectral light fields, as taken by a light field camera with a spectrally coded microlens array, are investigated. For the reconstruction of the coded light fields, two methods, one based on the principles of compressed sensing and one deep learning approach, are developed. Using novel synthetic as well as a real-world datasets, the proposed reconstruction approaches are evaluated in detail.
Author: Schambach, Maximilian
Publisher: KIT Scientific Publishing
ISBN: 3731512106
Category : Technology & Engineering
Languages : en
Pages : 238
Get Book Here
Book Description
In dieser Arbeit werden spektral kodierte multispektrale Lichtfelder untersucht, wie sie von einer Lichtfeldkamera mit einem spektral kodierten Mikrolinsenarray aufgenommen werden. Für die Rekonstruktion der kodierten Lichtfelder werden zwei Methoden entwickelt, eine basierend auf den Prinzipien des Compressed Sensing sowie eine Deep Learning Methode. Anhand neuartiger synthetischer und realer Datensätze werden die vorgeschlagenen Rekonstruktionsansätze im Detail evaluiert. -In this work, spatio-spectrally coded multispectral light fields, as taken by a light field camera with a spectrally coded microlens array, are investigated. For the reconstruction of the coded light fields, two methods, one based on the principles of compressed sensing and one deep learning approach, are developed. Using novel synthetic as well as a real-world datasets, the proposed reconstruction approaches are evaluated in detail.
Author: Uhlig, David
Publisher: KIT Scientific Publishing
ISBN: 3731513064
Category :
Languages : en
Pages : 284
Get Book Here
Book Description
Optical measurement methods are becoming increasingly important for high-precision production of components and quality assurance. The increasing demand can be met by modern imaging systems with advanced optics, such as light field cameras. This work explores their use in the deflectometric measurement of specular surfaces. It presents improvements in phase unwrapping and calibration techniques, enabling high surface reconstruction accuracies using only a single monocular light field camera.
Author: Hartung, Julia
Publisher: KIT Scientific Publishing
ISBN: 3731513331
Category :
Languages : en
Pages : 258
Get Book Here
Book Description
The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance.
Author: Li, Lanxiao
Publisher: KIT Scientific Publishing
ISBN: 3731513463
Category :
Languages : en
Pages : 256
Get Book Here
Book Description
Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technology.
Author: Bächle, Matthias
Publisher: KIT Scientific Publishing
ISBN: 3731512521
Category : Technology & Engineering
Languages : en
Pages : 218
Get Book Here
Book Description
This work presents model-based algorithmic approaches for interference-invariant time delay estimation, which are specifically suited for the estimation of small time delay differences with a necessary resolution well below the sampling time. Therefore, the methods can be applied particularly well for transit-time ultrasonic flow measurements, since the problem of interfering signals is especially prominent in this application.
Author:
Publisher:
ISBN:
Category : Optics
Languages : en
Pages : 500
Get Book Here
Book Description
Author: Jon Y. Hardeberg
Publisher: Universal-Publishers
ISBN: 1581121350
Category : Computers
Languages : en
Pages : 324
Get Book Here
Book Description
The goal of the work reported in this dissertation is to develop methods for the acquisition and reproduction of high quality digital color images. To reach this goal it is necessary to understand and control the way in which the different devices involved in the entire color imaging chain treat colors. Therefore we addressed the problem of colorimetric characterization of scanners and printers, providing efficient and colorimetrically accurate means of conversion between a device-independent color space such as the CIELAB space, and the device-dependent color spaces of a scanner and a printer.
Author: Saurabh Prasad
Publisher: Springer Nature
ISBN: 3030386171
Category : Computers
Languages : en
Pages : 464
Get Book Here
Book Description
This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models, anomalous change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding. It presents research from leading international experts who have made foundational contributions in these areas. The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas of image analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, geosciences and biomedical image processing, who work with multi-channel optical data will find this book useful.
Author: Alan C. Eckbreth
Publisher: CRC Press
ISBN: 9789056995324
Category : Technology & Engineering
Languages : en
Pages : 636
Get Book Here
Book Description
Focusing on spectroscopically-based, spatially-precise, laser techniques for temperature and chemical composition measurements in reacting and non-reacting flows, this book makes these powerful and important new tools in combustion research
Author: Institute of Electrical and Electronics Engineers
Publisher:
ISBN:
Category : Electric engineering
Languages : en
Pages : 1260
Get Book Here
Book Description
Issues for 1973- cover the entire IEEE technical literature.
