Art der Arbeit:
Master- / Diplomarbeit
Dr. Alexandra Bretschneider
04242 56300 220
Advanced Image Analysis with Deep Learning
CTR Carinthian Tech Research AG is an industry-oriented research and development center for „Smart Sensors and Systems Integration“. As the largest non-university research center in southern Austria, CTR has gained a reputation for expertise in R&D sensor technologies serving science and industry at both national and international level. CTR focuses on four main research areas: Microsystem Technologies, Heterogeneous Integration Technologies, Photonic Sensor Systems and Smart Systems. CTR is part of Austria’s COMET research programme with the K1 excellence center “ASSIC Austrian Smart Systems Integration Research Center”.
Deep learning approaches have become the state of the art for object classification and detection [He et al., 2015; Ren et al., 2016]. Recently, deep learning has been applied successfully for depth map predictions from monocular images [Eigen et al., 2014; Kuznietsov et al., 2017]. This diploma thesis will evaluate different deep learning/machine learning approaches for advanced image analysis such as volume estimation of objects from monocular images. In a first step, the best methods for recording the ground-truth data will be investigated and implemented. In a next step, different network models and architectures will be trained and evaluated with the data obtained. Data preprocessing and custom network layers will be implemented in Python (or C++/Cuda, if needed).
The prospective candidate is encouraged to present the results at a national or international conference and/or publish the results in a scientific journal.
Start Date / Duration / Contract:
Start date (planned): immediately
Duration (planned): 6 months
Contract: Payment is based on the collective contract.
Profile / requirements:
Contact: Jan Steinbrener, Email: Jan.Steinbrener@ctr.at