Compressive shape from focus based on a linear measurement model
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Ding Luo
Ding Luo received his master degree in Optics and Photonics from Karlsruhe Institute of Technology in 2014 and his bachelor degree in Information Engineering from Department of Optical Engineering, Zhejiang University in 2012. Since January 2015, he has joined Lehrstuhl IES, KIT in Germany as a scientific staff and has been working towards a PhD degree. He is currently working on adaptive chromatic measurement system. Ding Luo works in close cooperation with the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) in Karlsruhe.
Karlsruher Institut für Technologie (KIT), Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruhe, Germany
,
Thomas Längle
Thomas Längle is associate professor at Karlsruhe Institute of Technology (KIT), Karlsruhe and the head of the business unit Visual Inspection Systems (SPR) at Fraunhofer IOSB in Karlsruhe, Germany. His research interests included different aspects of image processing and real-time algorithms for inspection systems. He also offers lectures in computer science at Karlsruhe Institute of Technology and initiates many possibilities for students to work on applied research.
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (IOSB), Karlsruhe, Germany
Jürgen Beyerer is the director of the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) and the head of the Vision and Fusion Laboratory (IES) at the Faculty of Informatics, Karlsruhe Institute of Technology (KIT). His main fields of research are: Automated visual inspection and image processing, fusion of heterogeneous information sources, information theory, system theory, statistical methods and metrology.
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (IOSB), Karlsruhe, Germany
Abstract
Estimation accuracy of conventional shape from focus techniques is strongly coupled with the number of images in the focal stack, limiting the measurement speed. In this article, a novel compressive shape from focus scheme is proposed with an exemplary algorithm based on modified Laplacian operator and principal component analysis. Simulation with synthetic focal stacks have demonstrated comparable results to the conventional method. A test with 6 compressively captured images achieves the same level of performance to that of the conventional method with 100 images. Several other focus measure algorithms are also implemented and tested under the compressive scheme, which demonstrates the wide applicability of the proposed method.
Zusammenfassung
Die Schätzgenauigkeit der herkömmlichen Tiefenmessung mit variablem Fokus ist mit der Anzahl der Bilder im Fokusstapel gekoppelt, und das begrenzt die Messgeschwindigkeit. In diesem Artikel wird eine neuartige komprimierende Methode mit einem beispielhaften Algorithmus basierend auf einem modifizierten Laplace-Operator und der Hauptkomponentenanalyse vorgeschlagen. Die Simulation mit synthetischen Fokusstapeln hat Ergebnisse gezeigt, die mit der herkömmlichen Methode vergleichbar sind. Der Test mit 6 komprimiert erfassten Bildern erreicht dieselbe Leistung wie die herkömmliche Methode mit 100 Bildern. Mehrere andere Fokusmessalgorithmen werden auch unter dem Kompressionsschema implementiert und getestet, was die breite Anwendbarkeit des vorgeschlagenen Verfahrens demonstriert.
About the authors
Ding Luo received his master degree in Optics and Photonics from Karlsruhe Institute of Technology in 2014 and his bachelor degree in Information Engineering from Department of Optical Engineering, Zhejiang University in 2012. Since January 2015, he has joined Lehrstuhl IES, KIT in Germany as a scientific staff and has been working towards a PhD degree. He is currently working on adaptive chromatic measurement system. Ding Luo works in close cooperation with the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) in Karlsruhe.
Karlsruher Institut für Technologie (KIT), Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruhe, Germany
Thomas Längle is associate professor at Karlsruhe Institute of Technology (KIT), Karlsruhe and the head of the business unit Visual Inspection Systems (SPR) at Fraunhofer IOSB in Karlsruhe, Germany. His research interests included different aspects of image processing and real-time algorithms for inspection systems. He also offers lectures in computer science at Karlsruhe Institute of Technology and initiates many possibilities for students to work on applied research.
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (IOSB), Karlsruhe, Germany
Jürgen Beyerer is the director of the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) and the head of the Vision and Fusion Laboratory (IES) at the Faculty of Informatics, Karlsruhe Institute of Technology (KIT). His main fields of research are: Automated visual inspection and image processing, fusion of heterogeneous information sources, information theory, system theory, statistical methods and metrology.
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (IOSB), Karlsruhe, Germany
©2017 Walter de Gruyter Berlin/Boston
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- On the design of a fractal calibration pattern for improved camera calibration
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Articles in the same Issue
- Frontmatter
- Editorial
- Forum Bildverarbeitung 2016
- Beiträge
- On the design of a fractal calibration pattern for improved camera calibration
- Compressive shape from focus based on a linear measurement model
- 3D reconstruction by a combined structure tensor and Hough transform light field approach
- Das baryzentrische Verhältnis als Invariante der projektiven Geometrie
- Simulation of microscopic metal surfaces based on measured microgeometry
- Automated surface inspection of small customer-specific optical elements
- Individualisierte optische Messtechnik basierend auf additiv gefertigten optischen Komponenten
- Monokulare Kopfposenschätzung basierend auf dem optischen Fluss und der Verfolgung stabiler Merkmale
- Ein intuitives kamerabasiertes System zur Assistenz sehbehinderter Menschen
