著者

大野 淳也 白川 真一 大原 剛三 Ohno 1 Junya Shirakawa 2 Shinichi Ohara 2 Kouzou

雑誌

SIG-KBS = SIG-KBS

巻号頁・発行日

vol.B4, no.01, pp.1-7, 2014-07-24

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In this report, we propose a neural network model for subjective contour perception. The contour perception has an important role in recognizing the shape of objects for human. Human can perceive a contour even when there is no change of the characteristic or brightness in the image. This type of contour is called subjective contour, and the mechanism of its perception has yet to be completely become clear. It is helpful from the viewpoint of the visual psychology and engineering application if the subject contour perception model can be constructed by the computer. We, therefore, attempt to construct the model of the subjective contour perception by using only input and output images based on a convolutional neural network (CNN). From the experimental results, we confirmed that our proposed model has the possibility of extracting the subjective contour from the given image, though the general model for the subjective contour perception could not be obtained.