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Maximum likelihood thresholding methods are presented on the basis of population mixture models. It turns out that the standard thresholding proposed by Otsu, which is based on a discriminant criterion and also minimizes the mean square errors between the original image and the resultant binary image, is equivalent to the maximization of the likelihood of(More)
This paper describes a data compression system using Evolvable Hardware (EHW) for digital color electrophotographic (EP) printers. EP printing is an important technology within digital printing, which is currently having a significant impact on the printing and publishing industry. Although, it requires data-compression to reduce the cost for transferring(More)
We propose a new scheme for practical vision systems which are simple in structure, directly and adaptively trainable for various purposes. The feature extraction consists of two stages: At first, general and primitive features which are shift-invariant and additive are extracted over the retinal image plane. Then those features are linearly combined on the(More)
Our Jijo-2 robot, whose purpose is to provide office services, such as answering queries about people's location, route guidance , and delivery tasks, is expected to conduct natural spoken conversation with the office dwellers. This paper describes dialogue technologies implemented on our Jijo-2 office robot , i.e. noise-free voice acquisition system by a(More)
This paper proposes a scale invariant face detection method which combines higher-order local autocorrela-tion (HLAC) features extracted from a log-polar transformed image with Linear Discriminant Analysis for \face" and \not face" classiication. Since HLAC features of log-polar image are sensitive to shifts of a face, we utilize this property and develop a(More)
Recently, kernel Principal Component Analysis is becoming a popular technique for feature extraction. It enables us to extract non-linear features and therefore performs as a powerful preprocessing step for classification. There is one drawback, however, that extracted feature components are sensitive to outliers contained in data. This is a characteristic(More)
This paper proposes a gesture recognition method which uses higher order local autocorrelation (HLAC) features extracted from PARCOR images. To extract dominant information from a sequence of images, we apply linear prediction coding technique to the sequence of pixel values and PARCOR images are constructed from the PARCOR coecients of the sequences of the(More)
This paper presents a modification of kernel-based Fisher Discriminant Analysis (FDA) for face detection. In face detection problem, it is important to design a two-category classifier which can decide whether the given input sub-image is a face or not. There is a difficulty to train such tow-category classifiers because the " non face " class includes many(More)
An experimental multimodal disputation system , Mr.Bengo, is a knowledge based system with multimodal user interfaces such as face recognition, face generation, speech recognition , speech generation and a WWW browser. Mr. Bengo deals with three agents-a prosecution , an defense attorney and the judge. The prosecution and the attorney dispute about the(More)