| Issue |
EPJ Web Conf.
Volume 224, 2019
IV International Conference “Modeling of Nonlinear Processes and Systems” (MNPS-2019)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 4 | |
| Section | Machine Learning, Artificial Intelligence and High-Performance Computing | |
| DOI | https://doi.org/10.1051/epjconf/201922404005 | |
| Published online | 09 December 2019 | |
https://doi.org/10.1051/epjconf/201922404005
Modified Depth-Map Inpainting Method Using the Neural Network
1
Don Sate Technical University, RU-344000, Rostov-on-Don, Russia
2
Moscow State Technological University “STANKIN”, RU-127055, Moscow, Russia
3
School of Computer & Information Technology, Beijing Jiaotong University, Beijing, China
* e-mail: gapon.nv@gmail.com
Published online: 9 December 2019
This paper proposes a method for reconstructing a depth map obtained using a stereo pair image. The proposed approach is based on a geometric model for the synthesis of patches. The entire image is preliminarily divided into blocks of different size, where large blocks are used to restore homogeneous areas, and small blocks are used to restore details of the image structure. Lost pixels are recovered by copying the pixel values from the source based on the similarity criterion. We used a trained neural network to select the “best like” patch. Experimental results show that the proposed method gives better results than other modern methods, both in subjective and objective measurements for reconstructing a depth map.
© The Authors, published by EDP Sciences, 2019
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