Surrounding Structure Estimation Using Ambient Light
| العنوان: | Surrounding Structure Estimation Using Ambient Light |
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| المؤلفون: | Kenji Terabayashi, Eri Yamabe, Yusuke Nagahata, Bilal Ahmed Mir, Tohru Sasaki, Naoya Miwa |
| المصدر: | International Journal of Automation Technology. 15:794-803 |
| بيانات النشر: | Fuji Technology Press Ltd., 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Estimation, Computer science, Mechanical Engineering, Structure (category theory), Industrial and Manufacturing Engineering, Remote sensing, Image sensing |
| الوصف: | Image measurement technology – widely used in present society – has made substantial progress. It involves processes such as image input, target extraction, and measurement of the extracted region to obtain information from an image. These processes are computationally intensive because they require a large amount of information such as complex features, which is often an obstacle to improving and speeding up image processing tasks. In contrasts, living organisms easily recognize their own surroundings in real time. In cognitive science research studies, for example, visual affordance studies have shown that organisms perceive and recognize their surrounding environment and objects from ambient light, which is formed by reflected and scattered light in the environment. By applying this natural mechanism to image measurement technology, it is possible to obtain the information necessary to recognize the surrounding environment by observing ambient light without necessarily detecting or recognizing the object. In this study, we propose a direct method of assessing the surrounding environment by capturing ambient light as luminance. |
| تدمد: | 1883-8022 1881-7629 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::6a36197b1a8cbdf0efdc9d09f22a5e52 https://doi.org/10.20965/ijat.2021.p0794 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........6a36197b1a8cbdf0efdc9d09f22a5e52 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 18838022 18817629 |
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