1. Depth extraction with offset pixels
- Author
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Hyun-Sang Park, Hyeji Kim, Young-Gyu Kim, Muhammad Umar Karim Khan, Jinyeon Lim, Yeongmin Lee, Chong-Min Kyung, Woojin Yun, and S Chang
- Subjects
Point spread function ,Offset (computer science) ,Pixel ,Computer science ,Image quality ,Aperture ,business.industry ,010401 analytical chemistry ,02 engineering and technology ,Frame rate ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,0104 chemical sciences ,Optics ,Depth map ,Digital image processing ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Image sensor ,business ,Computer hardware - Abstract
Numerous depth extraction techniques have been proposed in the past. However, the utility of these techniques is limited as they typically require multiple imaging units, bulky platforms for computation, cannot achieve high speed and are computationally expensive. To counter the above challenges, a sensor with Offset Pixel Apertures (OPA) has been recently proposed. However, a working system for depth extraction with the OPA sensor has not been discussed. In this paper, we propose the first such system for depth extraction using the OPA sensor. We also propose a dedicated hardware implementation for the proposed system, named as the Depth Map Processor (DMP). The DMP can provide depth at 30 frames per second at 1920 × 1080 resolution with 31 disparity levels. Furthermore, the proposed DMP has low power consumption as for the aforementioned speed and resolution it only requires 290.76 mW. The proposed system makes it an ideal choice for depth extraction systems in constrained environments.
- Published
- 2018
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