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Efficient 3D Shape Registration by Using Distance Maps and Stochastic Gradient Descent Method Cover

Efficient 3D Shape Registration by Using Distance Maps and Stochastic Gradient Descent Method

Tatra Mountains Mathematical Publications
Volume 75 (2020): Issue 1 (April 2020)
By: ,   and    
Open Access
|Apr 2020
Authors

Authors

Polycarp Omondi Okock

polycarp.okock@tatramed.sk

Slovak University of Technology, Bratislava, Slovakia
Bratislava, Slovakia

Jozef Urbán

jozef.urban@tatramed.sk

Bratislava, Slovakia

Karol Mikula

karol.mikula@stuba.sk

Slovak University of Technology, Bratislava, Slovakia
DOI: https://doi.org/10.2478/tmmp-2020-0006 | Journal eISSN: 1338-9750 | Journal ISSN: 1210-3195
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Language: English
Page range: 81 - 102
Submitted on: Jun 26, 2019
Published on: Apr 24, 2020
Published by: Slovak Academy of Sciences, Mathematical Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
distance map,
stochastic gradient method,
registration,
parallelization,
affine transformation,
optimization
Related subjects:
Mathematics,
General mathematics

© 2020 Polycarp Omondi Okock, Jozef Urbán, Karol Mikula, published by Slovak Academy of Sciences, Mathematical Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 75 (2020): Issue 1 (April 2020)
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