Reconstruction of Smoke based on Light Field Consistency

カテゴリ: 論文誌(論文単位)

グループ名: 【E】センサ・マイクロマシン部門

発行日: 2016/12/01

タイトル(英語): Reconstruction of Smoke based on Light Field Consistency

著者名: Yuta Ideguchi (Osaka University), Yuki Uranishi (Kyoto University), Shunsuke Yoshimoto (Osaka University), Yoshihiro Kuroda (Osaka University), Masataka Imura (Kwansei Gakuin University), Osamu Oshiro (Osaka University)

著者名(英語): Yuta Ideguchi (Osaka University), Yuki Uranishi (Kyoto University), Shunsuke Yoshimoto (Osaka University), Yoshihiro Kuroda (Osaka University), Masataka Imura (Kwansei Gakuin University), Osamu Oshiro (Osaka University)

キーワード: Smoke，Spatial density，Light field consistency

要約(英語): This paper proposes a method to reconstruct smoke by estimating its spatial density. In this method, light field cameras are employed to estimate an initial spatial density by generating refocused images. First, an initial spatial density is determined using the minimum density value in the estimated space of each light field camera. The initial spatial density includes a spatial blur caused by the aperture of the light field cameras. The spatial density is reconstructed by removing the spatial blur using a blur model. We have previously proposed the fundamental model for the method. However, the previous model had two problems. The first problem was that the model did not consider directivity of light scattering. The second was that the model assumed that the blur spread uniformly. Furthermore, the previously conducted actual experiment was only evaluated visually, which was insufficient. In this paper, we propose a method that can resolve these problems. Our method is numerically evaluated by an actual experiment. Our experimental results show that smoke and fog can be reconstructed using two light field cameras.

本誌: 電気学会論文誌E（センサ・マイクロマシン部門誌） Vol.136 No.12 （2016）

本誌掲載ページ: 522-531 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejsmas/136/12/136_522/_article/-char/ja/