Extended Fisherface for Face Reocognition from a Single Example Image per Person
نویسندگان
چکیده
In this paper, we extend Fisherface for face recognition from one example image per person. Fisherface is one of the most successful face recognition methods. However, Fisherface requires several training images for each face, so it cannot be applied to the face recognition applications where only one example image per person is available for training. To tackle this problem, we extended the Fisherface method by proposing a method to derive multiple images of a face from one single image. Fisherface is then trained on these derived images. Experimental results on Bern face database and our 350 subjects database show that our method makes impressive performance improvement compared with the conventional Eigenfaces and template matching techniques.
منابع مشابه
Making FLDA applicable to face recognition with one sample per person
In face recognition, the Fisherface approach based on Fisher linear discriminant analysis (FLDA) has obtained some success. However, FLDA fails when each person just has one training face sample available because of nonexistence of the intra-class scatter. In this paper, we propose to partition each face image into a set of sub-images with the same dimensionality, therefore obtaining multiple t...
متن کاملA Nonlinear Grayscale Morphological and Unsupervised method for Human Facial Synthesis Based on an Example Image
Human facial generation of example image is used as a requirement for biometric applications for the purpose of identifying individuals. In this paper, face generation consists of three main steps. In the first step, detection of significant lines and edges of the example image are carried out using nonlinear grayscale morphology. Then, hair areas are identified from the face of sample. The fin...
متن کاملImage Generation Using Bidirectional Integral Features for Face Recognition with a Single Sample per Person
In face recognition, most appearance-based methods require several images of each person to construct the feature space for recognition. However, in the real world it is difficult to collect multiple images per person, and in many cases there is only a single sample per person (SSPP). In this paper, we propose a method to generate new images with various illuminations from a single image taken ...
متن کاملSubspace distance analysis with application to adaptive Bayesian algorithm for face recognition
We propose subspace distance measures to analyze the similarity between intrapersonal face subspaces, which characterize the variations between face images of the same individual. We call the conventional intrapersonal subspace Average Intrapersonal Subspace (AIS) because the image differences often come from a large number of persons. An intrapersonal subspace is referred to as Specific Intrap...
متن کاملIntrapersonal subspace analysis with application to adaptive Bayesian face recognition
We propose a subspace distance measure to analyze the similarity between intrapersonal face subspaces, which characterize the variations between face images of the same individual. We call the conventional intrapersonal subspace average intrapersonal subspace (AIS) because the image differences often come from a large number of persons. We call an intrapersonal subspace specific intrapersonal s...
متن کامل