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Title :物体の重なり情報を用いた単眼深度推定
Title alternative :Monocular depth estimation using overlap information
Authors :高嶺, 潮
遠藤, 聡志
Kolodziejczyk, Jakub
西銘, 大喜
Takamine, Michiru
Endo, Satoshi
Nishime, Taiki
Issue Date :Jun-2019
Abstract :Depth estimation is an important tool for machines to get spatial information. Human is realizing high-accuracy depth estimation by dividing problem area, but it is difficult for machine to calculate depth from a single RGB image. Our goal is to improve the accuracy of monocular depth estimation.From the past research, it has been found that obtaining the information stepwise in the global and local areas is effective for depth estimation.Therefore, In this research, we propose a method to utilize the anteroposterior relationship information of the object. Experimental results showed that the overlap information is useful for depth prediction.
URL :https://doi.org/10.11517/pjsai.JSAI2019.0_4I2J204
Type Local :会議発表論文
Publisher :一般社団法人 人工知能学会
URI :http://hdl.handle.net/20.500.12000/46170
Citation :人工知能学会全国大会論文集 Vol.33 p.4I2-J-2-04
Appears in Collections:Peer-reviewed Journal Articles (Faculty of Engineering)

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