16 research outputs found
Datasets for research article "An Extended Modular Processing Pipeline for Event-Based Vision in Automatic Visual Inspection". Sensors 2021, 21, 6143
No full textDatasets used in the research article "An Extended Modular Processing Pipeline for Event-Based Vision in Automatic Visual Inspection". The datasets provided contain the pre-processed data for the wooden balls and beans dataset referred to in the article. If you are interested in the unprocessed raw data, please contact the corresponding author.To cite this dataset, please reference: Beck, M.; Maier, G.; Flitter, M.; Gruna, R.; Längle, T.; Heizmann, M.; Beyerer, J. An Extended Modular Processing Pipeline for Event-Based Vision in Automatic Visual Inspection. Sensors 2021, 21, 6143. https://doi.org/10.3390/s21186143Datasets were recorded using DAVIS346 Dynamic Vision Sensor. Files have been created using Python pickle. Regarding how to use pickle, for instance refer to https://wiki.python.org/moin/UsingPickle.A minimal sample showing how to display the data is provided in view_data.py. Python dependencies in terms of a conda environment are shown in environment.yaml. If using this file to create an environment, please note that you might want to set a proper environment name in line 1 and that you must set a valid path in line 48
Gothic, Gender and Regenerationism in Emilia Pardo Bazán's Galicia
No full textThis thesis investigates Emilia Pardo Bazán’s fiction predicated on the idea of a Galician regional Gothic deriving from elements of English literary tradition and nineteenth-century Spanish costumbrismo. While the recurrent use of Gothic elements in her literary output has been acknowledged and studied by a number of scholars, my investigation aims to shed some light on the reasons why this writer ultimately resorts to this genre. My first level of analysis concentrates on Gothic manifestations in nineteenth-century Spanish fiction, and how Pardo Bazán adopts this genre and adapts it to her Realist and Naturalist conventions. I maintain that the primary choice for the Gothic aesthetic responds to a necessity to portray the most basic features of Galician peculiarities – its distinctive landscape and its rural Volksgeist –. In this way, Edmund Burke’s contribution to the theorization of the Sublime reveals itself to be a satisfactory resource to Pardo Bazán, who was well familiarized with the concept. The use of Gothic elements equally functions as an instrument of social criticism to raise empathy for the backwardness that Galicia suffered during the last third of the nineteenth century. Thus, while addressing the issue of women’s subordination, the author develops distinctive narrative patterns frequently associated with the so-called Female Gothic. Meanwhile, the depictions of rural characters as savage, superstitious and ignorant indicate the author’s preoccupation with the psychological processes of the Gothic and the reactions among the reading public. In depicting the plight of rural Galicia, she is actually making her readers aware of the necessity to bring this region closer to modernity, that is, to Europe. My second level of analysis focuses on the psychological dimension of the Gothic. In the exploration of such motifs as hallucinations, nightmares, uncanny locations, or hysterical attacks, Pardo Bazán’s texts call for a psychoanalytic reinterpretation of these terms. If readers of Gothic fiction seek to decipher hidden meanings within texts, I will attempt to demonstrate that a psychoanalytic approach to Pardo Bazán’s use of Gothic fiction happens to be a necessary step to the better understanding of her work. Taking all this into account, this thesis will try to show that the use of Gothic devices Pardo Bazán employs are constant throughout her literary career and help her to describe the distinctive peculiarities of Galicia while functioning as a tool of social criticism
Optimale multispektrale Sensorkonfigurationen mittels maschineller Lernverfahren für die kognitive Landwirtschaft
No full text336344Hyperspectral sensor systems play a key role in the automation of work processes in the farming industry. Non-invasive measurements of plants allow for an assessment of the vitality and health state and can also be used to classify weeds or infected parts of a plant. However, one major downside of hyperspectral cameras is that they are not very cost-effective. In this paper, we show, that for specific tasks, multispectral systems with only a fraction of the wavelength bands and costs of a hyperspectral system can lead to promising results for regression and classification tasks. We conclude that for the ongoing automation efforts in the context of cognitive agriculture reduced multispectral systems are a viable alternative.Hyperspektrale Sensorsysteme spielen eine Schlüsselrolle bei der Automatisierung von Arbeitsprozessen in der Landwirtschaft. Nicht-invasive Messungen von Pflanzen ermöglichen eine Beurteilung des Vitalitäts- und Gesundheitszustands und können auch zur Klassifizierung von Unkraut oder infizierten Pflanzenteilen verwendet werden. Ein großer Nachteil von Hyperspektralkameras ist jedoch, dass sie nicht sehr kosteneffektiv sind. In diesem Beitrag zeigen wir, dass für bestimmte Aufgaben multispektrale Systeme mit nur einem Bruchteil der Wellenlängenbänder und Kosten eines Hyperspektralsystems zu vielversprechenden Ergebnissen bei Regressions- und Klassifikationsaufgaben führen können. Wir kommen zu dem Schluss, dass für die laufenden Automatisierungsbemühungen im Rahmen der kognitiven Landwirtschaft reduzierte multispektrale Systeme eine praktikable Alternative sind.69
An Extended Modular Processing Pipeline for Event-Based Vision in Automatic Visual Inspection
No full textDynamic Vision Sensors differ from conventional cameras in that only intensity changes of individual pixels are perceived and transmitted as an asynchronous stream instead of an entire frame. The technology promises, among other things, high temporal resolution and low latencies and data rates. While such sensors currently enjoy much scientific attention, there are only little publications on practical applications. One field of application that has hardly been considered so far, yet potentially fits well with the sensor principle due to its special properties, is automatic visual inspection. In this paper, we evaluate current state-of-the-art processing algorithms in this new application domain. We further propose an algorithmic approach for the identification of ideal time windows within an event stream for object classification. For the evaluation of our method, we acquire two novel datasets that contain typical visual inspection scenarios, i.e., the inspection of objects on a conveyor belt and during free fall. The success of our algorithmic extension for data processing is demonstrated on the basis of these new datasets by showing that classification accuracy of current algorithms is highly increased. By making our new datasets publicly available, we intend to stimulate further research on application of Dynamic Vision Sensors in machine vision applications
What are effective strategies in defusing contempt felt about political figures?
No full textThis study examined the relative effectiveness of three different strategies in defusing contempt felt about political figures: rebut the attack which brought on the contempt (acting as the control), rebut the attack and counterattack, and rebut the attack and convey a message of hope. Contempt felt about the political figure was measured on a 20 item self-report contempt scale. In addition, a number of other dependent, mediating, and moderating variables were included in the survey to measure their relationship to the strategies to defuse contempt. Participants were instructed to read a fictional newspaper article, which first raised feelings of contempt about a fictional political figure, Congressman Blankenship, and then discussed Blankenship’s response to the issue that raised contempt, which contained one of the strategies to reduce contempt depending on condition. Participants then completed the contempt scale, which asked about their feelings and emotions towards Blankenship. Overall, the "rebut and counterattack" condition was found to be the only strategy that was significantly more effective in defusing contempt than the control condition. In addition, results found that the perceived undesirable qualities of the target of contempt fully mediated the relationship between the "rebut and counterattack" condition and amount of contempt felt about the target. Finally, results showed that neuroticism was a significant moderating variable in the study. These results begin to shed light on ways to diminish the impact of negative campaigning used against political figures.M.A.Includes bibliographical referencesby Alex Flitte
An investigation into nonbronchoscopic bronchoalveolar lavage and endotracheal suctioning in critically ill infants and children
No full textIncludes bibliographical references.This thesis investigated the effects on critically ill, mechanically ventilated paediatric patients of two related, frequently performed physiotherapy procedures: nonbronchoscopic bronchoalveolar lavage (NB-BAL) and endotracheal (ET) suctioning. General aims: To investigate un- or poody-documented complications of paediatric NBBAL and ET suctioning, and to test a method for each procedure of reducing the incidence and/or severity of these complications
Motion-Based Visual Inspection of Optically Indiscernible Defects on the Example of Hazelnuts
No full textMotion-based visual inspection of optically indiscernible defects on the example of hazelnuts
No full textArt. 106147, 8 S.Automatic quality control has long been an integral part of the processing of food and agricultural products. Visual inspection offers solutions for many issues in this context and can be employed in the form of sensor-based sorting to automatically remove foreign and low quality entities from a product stream. However, these methods are limited to defects that can be made visible by the employed sensor, which usually restricts the system to defects appearing on the surface. An alternative non-visual solution lies in impact-acoustic methods, which do not suffer from this constraint. However, these are strongly limited in terms of material throughput and consequently not suitable for large scale industrial application. In this paper, we present a novel approach that performs inspection based on optically acquired motion data. A high-speed camera captures image sequences of test objects during a transportation process on a chute with a specific structured surface. The trajectory data is then used to classify test objects based on their motion behavior. The approach is evaluated experimentally on the example of distinguishing defect-free hazelnuts from ones that suffer from insect damage. Results show that by merely utilizing the motion data, a recognition rate of up to for undamaged hazelnuts can be achieved. A major advantage of our approach is that it can be integrated in sensor-based sorting systems and is suitable for high throughput applications.18
Images of Cylinders Transported on a Conveyor Belt - Recording 7
No full textThis data set comprises images of cylinders on a conveyor belt. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the Tablesort system can be found in
Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer, Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking, Transactions on Industrial Electronics, February 2020.
See also the project website.
This dataset is part of a batch of recordings on optical sorters. Please use the search function with the keyword "Tobias Hornberger" (in quotes) to find them or use the list at https://doi.org/10.5281/zenodo.5506551 (conveyor belt data sets only).
The camera was recorded on a Bonito CL-400C. The calibration image for the extrinsic parameters can be found in calibration_extrinsics.png for the extrinsics and calibration_color.png for the color calibration. Please see the debayer script on GitHub. Each pixel is approximately 0.056 mm long in world coordinates. The frame rate is 192.9 Hz.
Algorithms for two key challenges can be developed and evaluated on the data sets:
Multitarget tracking for predicting the particle’s motion. This can be used to enhance the separation of optical sorters. For further details on this, see the publications
Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe D. Hanebeck, Robin Gruna, Thomas Längle, Jürgen Beyerer,
TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials,
Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2015), San Diego, California, USA, September 2015.
Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Robin Gruna, Harald Kruggel-Emden, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer,
Predictive Tracking with Improved Motion Models for Optical Belt Sorting,
at – Automatisierungstechnik, April 2020.
Classification of particles. The classification may use a multitarget tracker to accumulate visual features over time. One can also use the information on the trajectory to classify the particles. For information on this, refer to
Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,
Improving Material Characterization in Sensor-Based Sorting by Utilizing Motion Information,
Proceedings of the 3rd Conference on Optical Characterization of Materials (OCM 2017), Karlsruhe, Germany, March 2017.
Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,
Motion-Based Material Characterization in Sensor-Based Sorting,
tm – Technisches Messen, De Gruyter, October 2017.
To this date, publications that used these data include
Daniel Pollithy, Marcel Reith-Braun, Florian Pfaff, Uwe D. Hanebeck,
Estimating Uncertainties of Recurrent Neural Networks in Application to Multitarget Tracking,
Proceedings of the 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2020), Virtual, September 2020.
CSV-files with already associated particle tracks are available at https://doi.org/10.5281/zenodo.5506551.
Acknowledgment
The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Energy on the basis of a resolution of the German Bundestag
Images of Balls Transported on a Chute - Recording 4
No full textThis data set comprises images of balls on a chute. The images were recorded on the small-scale optical belt sorter Tablesort. A thorough description of the Tablesort system can be found in
Georg Maier, Florian Pfaff, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Jürgen Beyerer, Experimental Evaluation of a Novel Sensor-Based Sorting Approach Featuring Predictive Real-Time Multiobject Tracking, Transactions on Industrial Electronics, February 2020.
See also the project website.
This dataset is part of a batch of recordings on optical sorters. Please use the search function with the keyword "Tobias Hornberger" (in quotes) to find them.
The camera was recorded on a Bonito CL-400C. The calibration image for the extrinsic parameters can be found in calibration_extrinsics.png for the extrinsics and calibration_color.png for the color calibration. Please see the debayer script on GitHub. The frame rate is 192.9 Hz.
Algorithms for two key challenges can be developed and evaluated on the data sets:
Multitarget tracking for predicting the particle’s motion. This can be used to enhance the separation of optical sorters. For further details on this, see the publications
Florian Pfaff, Marcus Baum, Benjamin Noack, Uwe D. Hanebeck, Robin Gruna, Thomas Längle, Jürgen Beyerer,
TrackSort: Predictive Tracking for Sorting Uncooperative Bulk Materials,
Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2015), San Diego, California, USA, September 2015.
Florian Pfaff, Christoph Pieper, Georg Maier, Benjamin Noack, Robin Gruna, Harald Kruggel-Emden, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Thomas Längle, Jürgen Beyerer,
Predictive Tracking with Improved Motion Models for Optical Belt Sorting,
at – Automatisierungstechnik, April 2020.
Classification of particles. The classification may use a multitarget tracker to accumulate visual features over time. One can also use the information on the trajectory to classify the particles. For information on this, refer to
Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,
Improving Material Characterization in Sensor-Based Sorting by Utilizing Motion Information,
Proceedings of the 3rd Conference on Optical Characterization of Materials (OCM 2017), Karlsruhe, Germany, March 2017.
Georg Maier, Florian Pfaff, Florian Becker, Christoph Pieper, Robin Gruna, Benjamin Noack, Harald Kruggel-Emden, Thomas Längle, Uwe D. Hanebeck, Siegmar Wirtz, Viktor Scherer, Jürgen Beyerer,
Motion-Based Material Characterization in Sensor-Based Sorting,
tm – Technisches Messen, De Gruyter, October 2017.
Acknowledgment
The IGF project 20354 N of the research association Forschungs-Gesellschaft Verfahrens-Technik e.V. (GVT) was supported via the AiF in a program to promote the Industrial Community Research and Development (IGF) by the Federal Ministry for Economic Affairs and Energy on the basis of a resolution of the German Bundestag
