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シーン認識の周波数依存に関する実験的研究 Experiental Study for Frequency-Dependence of Scene Recognition シーン ニンシキ ノ シュウハスウ イゾン ニ カンスル ジッケンテキ ケンキュウ 50196101 坂本, 眞人 サカモト, マコト Sakamoto, Makoto 坂本 サカモト Sakamoto 眞人 マコト Makoto 宮崎大学 University of Miyazaki 細川, 弘江 ホソカワ, ヒロエ 友添, 直子 トモゾエ, ナオコ Tomozoe, Naoko 友添 トモゾエ Tomozoe 直子 ナオコ Naoko Hosokawa, Hiroe 友添, 直子 トモゾエ, ナオコ Tomozoe, Naoko 友添 トモゾエ Tomozoe 直子 ナオコ Naoko FFT, frequency component, picture processing, psychology, scene recognition Abstract In general, we can recognize various complex scenes as fast as isolated objects. How can we achieve this efficiency, in spite of the large number of objects and interfering factors in scene? In 1994, P.G.Schyns and A.Oliva published their paper againt this open problem, and showed whether the respective roles of coarse blobs and fine boundary edges in scene recognition at a glance were used in a particular sequence over the course of fast and leisurely scene processing [5]. In this paper, we demonstrate their statement, and show that in very fast recognition tasks, scenes are identified by high- frequency and low-frequency components. 宮崎大学工学部 Faculty of Engineering, University of Miyazaki 2006-08-30 jpn departmental bulletin paper VoR http://hdl.handle.net/10458/450 https://miyazaki-u.repo.nii.ac.jp/records/2485 AA00732558 05404924 宮崎大学工学部紀要 Memoirs of Faculty of Engineering, University of Miyazaki 35 287 291 https://miyazaki-u.repo.nii.ac.jp/record/2485/files/KJ00004439525.pdf application/pdf 919.8 kB 2020-06-21