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We propose a fitting method using a model that integrates face and body shape variance information for upper-body contour extraction and tracking. Accurate body-contour extraction is necessary for various applications, such as pose estimation, gesture recognition, and so on. In this study, we regard it as the shape model fitting problem. A model including shape variance information can fit to 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...
This paper proposes a method that can be used to detect various types of occluded faces as well as non-occluded faces by using classifiers based on AdaBoost, linear discriminant analysis (LDA), and a decision tree structure. The proposed method involves AdaBoost-based classifiers for whole faces and individual face-part classifiers trained on non-occluded face sample sets. Whole faces and their parts...
This paper presents a framework of age-group classification using facial images under various lighting conditions. Our method is based on the appearance-based approach that projects images from the original image space into a face-subspace. We propose a two-phased approach (2DLDA+LDA), which is based on 2DPCA and LDA. Our experimental results show that the new 2DLDA+LDA-based approach improves classification...
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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