Paper
1 June 2020 Depth estimation with tilted optics by multi-aperture using color filter
H. Ikeoka, T. Hamamoto
Author Affiliations +
Proceedings Volume 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020; 115152Q (2020) https://doi.org/10.1117/12.2566506
Event: International Workshop on Advanced Imaging Technologies 2020 (IWAIT 2020), 2020, Yogyakarta, Indonesia
Abstract
We have been investigating a depth estimation system for real-time applications. Stereo camera method is too sensitive to slight variations of baseline length due to vibration and temperature. Additionally, it has occlusion problem. On the other hand, monocular camera method by focusing cannot provide a balance between wide-area estimation and real-time estimation. Therefore, we have proposed a method that adopts tilted lens optics. In this method, the plane of sharp focus (POF) lies and the depth of field (DOF) enlarges toward the depth direction. Herein, we can obtain depth values at each pixel from a ratio of the sharpness values of two tilted optics images using monocular camera system with spectroscopic. This advantage works for real-time application such as automotive tasks. In this paper, we introduce a novel method to realize a compact imaging device which is consist of only one pair of an image sensor and a tilted optics. We have adopted multi-aperture using color filter to achieve our proposal. By using not only a normal aperture but also an aperture with green color filter which is smaller than the normal aperture at the same position in the optics, we realize to obtain two type blur images for tilted depth estimation easily.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H. Ikeoka and T. Hamamoto "Depth estimation with tilted optics by multi-aperture using color filter", Proc. SPIE 11515, International Workshop on Advanced Imaging Technology (IWAIT) 2020, 115152Q (1 June 2020); https://doi.org/10.1117/12.2566506
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KEYWORDS
Optical filters

Image sensors

Cameras

Imaging devices

Imaging systems

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