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我々は例示画像からの知識獲得機能をもった画像認識システムの研究を行っている。システムは対象物の構成領域の2次元特徴とそれらの階層的関係からなる対象物モデルを知識として持ち、対象物の認識を行う。このとき、背景との関係により領域分割の誤りが生じることがあるが、対象物モデルの階層性を利用することによって、この誤りを検出し訂正する。
We have been developing an image reco...gnition system which has an ability to automatically acquire a model of an object class from image examples. The model is described in hierarchical relationship of segmented regions and 2-D features of the regions. When the system generates the model, the object region is specified by the user. However, when the system recognizes an object, the system should search the object region in a given image. The problem in recognizing an object is that the region segmentation often causes an undesirable result, or mis-segmentation, when its background is not clearly distinguishable from the object. In this paper, we will discuss a strategy of object finding and recognition based on a hierarchical structure of the object model.show more
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