モバイルカメラで撮影した看板画像の特徴量に関する考察(顔・ジェスチャ認識のためのパターン認識メディア理解,一般)

概要

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In this paper, we discuss image representation methods for signboard discrimination based on images. First, characteristics of image-based signboard discrimination problem and requirements for the discriminator are extracted. Next, traditional image representation methods, e.g. a color histogram or a space frequency, and so on, and their advantages and/or disadvantages are outlined. And next, effectiveness for each representation is compared for the signboard discrimination problem with images, using k-nearest neighbor (k-NN) method which is one of the most simple discrimination methods. Finally, to improve faculties of the image representation from the view point of signboard discrimination, two means, i) for reduction of the background affection and ii) for use of the color information, are discussed based on the extracted characteristics and requirements.
社団法人電子情報通信学会の論文
2004-11-12