Open AccessDepth extraction with offset pixels
Author(s) -
Woojin Yun,
Y G Kim,
Yeongmin Lee,
Jinyeon Lim,
Hyunsoo Kim,
Muhammad Umar Khan,
Seunghyuk Chang,
H S Park,
Chong-Min Kyung
Publication year - 2018
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.26.015825
Subject(s) - computer science , offset (computer science) , pixel , computation , image sensor , artificial intelligence , computer vision , optics , algorithm , physics , programming language
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.