Yuriy Anisimov
| E-Mail: | yuriy.anisimov@dfki.de |
|---|---|
| Position: | Researcher |
| Phone: | +49 631 20575-3750 |
Yuriy Anisimov received a M.Eng. in Electrical Engineering from Moscow Polytechnic University, with the thesis topic of “Road lane and road signs recognition system.” During his studies, he completed an internship at the South Korean Hyundai motor plant and the University of Ulsan for the Automotive Engineering and Robotics topics.
He joined DFKI in 2015, first as a PhD Candidate and later as a researcher, where he was involved in several research projects while still pursuing the PhD. His work focused on real-time three-dimensional reconstruction on embedded hardware and deep-learning based object detection from ToF depth images on edge devices, as well as deep-learning-driven photometric stereo.
His research interests are parallel programming, real-time algorithms, embedded hardware, three-dimensional reconstruction and its applications. He is also interested in teaching, co-organizing the exercises on “2D Image Processing” course, projects and seminars on “3D Computer Vision” and “2D Image Processing” topics, and being a lecturer for “Advanced Topics in Computer Vision and Deep Learning” course at Rheinland-Pfälzische Technische Universität.
TIMo—A Dataset for Indoor Building Monitoring with a Time-of-Flight Camera
Sensors - Open Access Journal (Sensors) 22 11 Seiten 3992-4005 MPDI Basel 5/2022 .
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Nonlinear Optimization of Light Field Point Cloud
Academic Editor Denis Laurendeau (Hrsg.). Sensors - Open Access Journal (Sensors) 22(3) Seiten 814-829 MDPI 1/2022 .
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Calibration and Auto-Refinement for Light Field Cameras
Vaclav Skala Union Agency (Hrsg.). 28. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2020. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG-2021) May 17-20 Pilsen Czech Republic Vaclav Skala Union Agency 2021 .
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A Compact Light Field Camera for Real-Time Depth Estimation
Mario Vento, Gennaro Percannella (Hrsg.). Computer Analysis of Images and Patterns - 18th International Conference. International Conference on Computer Analysis of Images and Patterns (CAIP-2019) September 2-5 Salerno Italy I Seiten 52-63 Lecture Notes in Computer Science (LNCS) 11678 ISBN 978-3-030-29887-6 Springer, Cham Switzerland 8/2019 .
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Rapid Light Field Depth Estimation with Semi-Global Matching
2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP). IEEE International Conference on Intelligent Computer Communication and Processing (ICCP-2019) September 5-7 Cluj-Napoca Romania IEEE Xplore 9/2019 .
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Fast and Efficient Depth Map Estimation from Light Fields
International Conference on 3DVision (3DV-17), October 10-12, Qingdao, China
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