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The use of web-based surveys has expanded rapidly during the past few years as the number of Internet users increased. However, lack of representativeness cause hesitation in utilizing data collected via the Internet as compared to more conventional sampling methodology. This paper analyses the problem of non-representativeness in open online surveys using a passive sampling method, taking as an example...
In pattern recognition, feature vectors are occasionally subject to non-negative constraints. This characteristic can be expressed by a cone in feature vector space. In this paper, we propose cone-restricted subspace methods. The proposed methods admit the scaling and additivity of vectors as well as ordinary subspace methods; in addition, vectors can be strictly classified at the boundary of the...
We have developed new dimensionality reduction methods, extended from locality preserving projection (LPP), to estimate age using facial images. LPP seeks a linear transformation matrix such that optimally preserves the neighborhood structure of the data. Our focus has been on expanding LPP by making use of class label information. Specifically, one of our ideas is to assign weights only to the data...
Due to their use of information contained in texture, active appearance models (AAM) generally outperform active shape models (ASM) in terms of fitting accuracy. Although many extensions and improvements over the original AAM have been proposed, on of the main drawbacks of AAMs remains its dependence on good initial model parameters to achieve accurate fitting results. In this paper, we determine...
This paper describes an attempt to transform the appearance of a person's face to give a more favorable impression. Face images are first represented as high-dimensional vectors by separating the shape and texture information, and variations in the appearance of face images are coded by applying principal component analysis to a set of various face images. The relationship between the coded representation...
This paper describes a vector representation of 3D shapes acquired in the form of 2D range images produced using a range finder (NEC Danae-R). The vectorization was performed by first extracting feature points that correspond to each other as landmarks among different 3D face shapes, and then re-sampling each surface region of the face divided by the landmarks into other regions to obtain corresponding...
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