Browsing Fakultät für Mathematik und Informatik (inkl. GAUSS) by Referee "Wörgötter, Florentin Prof. Dr."
Now showing items 1-20 of 20
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Simulated Mental Imagery for Image Synthesis and its Application in Robotic Planning
(2024-06-05)The autonomy of robots is a prominent research focus in the field of robotics. A key aspect is endowing robots with the ability to accurately perceive the environment and to plan for specific tasks, which poses a considerable ... -
Interpreting and visualizing the decisions of Deep Neural Networks
(2023-04-20)Machine learning and its associated algorithms involving deep neural networks have gained widespread admiration in the computer vision domain. In this regard, significant progress has been made in automating certain ... -
Neural Network Based Methods for the Conformational Landscape Determination in High Resolution Cryo-Electron Microscopy
(2022-09-22)During the last decades 3D transmission electron cryo-microscopy (cryoEM) has emerged to be the method of choice for the study of motion in larger protein complexes. The aim of Single Particle Analysis (SPA) in cryoEM is ... -
6D-Posenbestimmung und 3D-Objektrekonstruktion mittels der 2D-Form von Bildsegmenten
(2022-04-14)This thesis presents a template-based method for the calculation of the 6D pose with a following 3D reconstruction of objects in a scene. In applications for computer-aided manipulations, e.g., in the field of robotics, ... -
Machine Learning-Based Analysis of Bird Vocalizations
(2022-04-01)Acoustic signals are rich in information content. For humans the skill of listening to sounds and extracting relevant information comes effortlessly. However, for computers this task is quite challenging. Machine hearing ... -
Integration of autonomous and pattern recognition controls in hand prostheses
(2022-02-08)Thanks to the progress in the robotic and mechatronic fields, upper limb prostheses became more and more dexterous, getting closer to closing the gap between the natural limb and the medical device replacing it. However, ... -
Ontology-based transformation of natural language queries into SPARQL queries by evolutionary algorithms
(2022-01-21)In this thesis an ontology-driven evolutionary learning system for natural language querying of RDF graphs is presented. The learning system itself does not answer the query, but generates a SPARQL query against the ... -
Graph-based Object Understanding
(2021-06-18)Computer Vision algorithms become increasingly prevalent in our everyday lives. Especially recognition systems are often employed to automatize certain tasks (i.e. quality control). In State-of-the-Art approaches global ... -
Spatio-temporal reasoning for semantic scene understanding and its application in recognition and prediction of manipulation actions in image sequences
(2020-04-21)Human activity understanding has attracted much attention in recent years, due to a key role in a wide range of applications and devices, such as human- computer interfaces, visual surveillance, video indexing, intelligent ... -
Deep Learning Metadata Fusion for Traffic Light to Lane Assignment
(2019-08-01)This dissertation focuses on a novel deep fusion method with heterogeneous metadata and image data to resolve the one-to-many traffic light to lane assignment problem. The traffic light to lane assignment belongs to the ... -
From low level perception towards high level action planning
(2018-11-23)Nowadays, robots become more and more integrated into everyday life. Smartphones, desktop computers, and even cars can be thought of as robots, even though probably not autonomous robots. Many discussions about the term ... -
Development of novel analysis and data integration systems to understand human gene regulation
(2018-06-27)Abstract: This thesis covers a very broad range of bioinformatics methods ranging from the development of the analysis pipeline to the data integration and development of an expression atlas (database and web application ... -
Increasing the robustness of active upper limb prostheses
(2017-02-02)This thesis is based on my work done at the Institute for Neurorehabilitation Systems at the University Medical Center Goettingen. My work has been partially founded by German Ministry for Education and Research (BMBF) via ... -
Visual Perception of Objects and their Parts in Artificial Systems
(2015-11-02)Humans are able to perceive their surrounding apparently with ease. Without much thinking we can process the complex visual stream into meaningful entities which we call objects. How we do this remains an open question ... -
Adaptive neuromechanical control for energy-efficient and adaptive compliant hexapedal walking on rough surfaces
(2015-06-12)The control of multi-legged animal walking is a neuromechanical process where the nervous system produces neural signals to activate the muscles for driving the skeletons (e.g., legs and joints). To model and achieve this ... -
Robust Electromyography Based Control of Multifunctional Prostheses of The Upper Extremity
(2015-03-25)Multifunctional, highly dexterous and complex mechanic hand prostheses are emerging and currently entering the market. However, the bottleneck to fully exploiting all capabilities of these mechatronic devices, and to making ... -
Perceptual Segmentation of Visual Streams by Tracking of Objects and Parts
(2014-11-27)The ability to parse visual streams into semantically meaningful entities is an essential element of intelligent systems. This process - known as segmentation - is a necessary precursor to high-level behavior which uses ... -
Compression of visual data into symbol-like descriptors in terms of a cognitive real-time vision system
(2012-10-16)Humans have main senses: sight, hearing, touch, smell, and taste. Most of them combine several aspects. For example vision addresses at least three perceptual modalities: motion, color, and luminance. Extraction of these ... -
Semantic analysis of image sequences using computer vision methods
(2012-10-11)Observing, learning, and imitating human skills are intriguing topics in cognitive robotics. The main problem in the imitation learning paradigm is the policy development. Policy can be defined as a mapping from an ... -
Bayes Filters with Improved Measurements for Visual Object Tracking
(2012-03-22)Visual object tracking uses cameras to track target objects in the environment, which has many applications nowadays, such as intelligent surveillance, medical care, intelligent transportation ...