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The influence of age progression on the performance of face verification systems is a challenging and largely open research problem. When only one reference and one test image per subject are available, in this paper we propose to manage the aging influence on the adult face verification system through a score-age stacking technique to find the global decision boundary which can change across the...
In order to eliminate the effect of the facial expression, and also improve the accuracy of the three dimensional (3D) face recognition, a new 3D face recognition method is proposed in this paper. First, segmenting the key regions and curves which are free from the facial and fully characterize the face; second, resampling curves and regions to uniform the data precision; third, processing data to...
We propose to utilize micro features, namely facial marks (e.g., freckles, moles, and scars) to improve face recognition and retrieval performance. Facial marks can be used in three ways: i) to supplement the features in an existing face matcher, ii) to enable fast retrieval from a large database using facial mark based queries, and iii) to enable matching or retrieval from a partial or profile face...
We present a novel method for recognizing an object in an image using full pixel matching between a reference image and an input image without advance segmentation of the image. A method called two-dimensional continuous dynamic programming (2DCDP) is adopted to optimally calculate the accumulated local distances of all corresponding pixels in nonlinearly matched areas in an input image and a reference...
Various methods have been used for face recognition over the past few years. The motivation for the continuous work on face recognition is to obtain a method which is able to recognize different angles and poses of faces accurately and efficiently. Currently, faces are identified using either two dimensional (2D) images or three dimensional (3D) range images. In this paper, a face recognition method...
We propose in this paper a search approach which aim to improve identification in biometric databases. We work with face images and we develop appearance-based Eigenfaces and Fisherfaces methods to generate holistic and discriminant features and attributes. These features, which describe faces, are often used to establish the required identity in a classical identification process. In this work we...
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