Depth from a polarisation + RGB stereo pair

Autor: Zhu, Dizhong, Smith, William A. P.

In this paper, we propose a hybrid depth imaging system in which a polarisation camera is augmented by a second image from a standard digital camera. For this modest increase in equipment complexity over conventional shape-from-polarisation, we obtai

Externí odkaz: http://arxiv.org/abs/1903.12061

Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images

Autor: Taran, Vlad, Gordienko, Nikita, Kochura, Yuriy, Gordienko, Yuri, Rokovyi, Alexandr, Alienin, Oleg, Stirenko, Sergii

Publikováno v: Proceedings of the 19th International Conference on Computer Systems and Technologies (CompSysTech'18), Boris Rachev and Angel Smrikarov (Eds.). ACM, New York, NY, USA, 73-80 (2018)

Semantic image segmentation is one the most demanding task, especially for analysis of traffic conditions for self-driving cars. Here the results of application of several deep learning architectures (PSPNet and ICNet) for semantic image segmentation

Externí odkaz: http://arxiv.org/abs/1806.01896

Numerical Methods for Solving the Problem of Calibrating a Projective Stereo Pair Camera, Optimized for Implementation on FPGA

Autor: Anton, Zhilenkov, Oleg, Krupinin, Sergei, Chernyi, Anatoliy, Nyrkov, Sergei, Sokolov

Publikováno v: In Procedia Computer Science 2020 167:2229-2235

Snake-Based Model for Automatic Roof Boundary Extraction in the Object Space Integrating a High-Resolution Aerial Images Stereo Pair and 3D Roof Models

Autor: Michelle S. Y. Ywata, Aluir P. Dal Poz, Milton H. Shimabukuro, Henrique C. de Oliveira

Publikováno v: Remote Sensing, Vol 13, Iss 8, p 1429 (2021)

The accelerated urban development over the last decades has made it necessary to update spatial information rapidly and constantly. Therefore, cities’ three-dimensional models have been widely used as a study base for various urban problems. Howeve

Externí odkaz: https://doaj.org/article/8ad5dc2464f948808f04de5b8df6a5a0

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