Accuracy improvement of depth estimation with tilted optics by optimizing neural network

Hiroshi Ikeoka; Takayuki Hamamoto

doi:10.1117/12.2521101

22 March 2019 Accuracy improvement of depth estimation with tilted optics by optimizing neural network

Hiroshi Ikeoka, Takayuki Hamamoto

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 1104934 (2019) https://doi.org/10.1117/12.2521101
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

We have been investigating a novel depth estimation system that adopts tilted-lens optics for real-time usage, e.g., automotive tasks. Herein, we obtained depth values for each pixel from the sharpness ratio of only two tilted optics images; we used a monocular camera system with a spectroscopic mirror. However, the method causes some estimation errors because of the difference between the optical theory and the actual camera system. Therefore, to reduce the error, we adopted a neural network to obtain the depth map. In this paper, we report our improvement by optimizing the neural network construction which calculates the depth value for each pixel from 3 × 3 pixel values at each image and y-coordinate.

Citation Download Citation

Hiroshi Ikeoka and Takayuki Hamamoto "Accuracy improvement of depth estimation with tilted optics by optimizing neural network", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 1104934 (22 March 2019); https://doi.org/10.1117/12.2521101

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