Multiresolution Face Recognition through Virtual Faces Generation Using a Single Image for One Person
نویسندگان
چکیده
منابع مشابه
Image 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 ...
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One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for collecting them, lower costs for storing and processing them. Unfortunately, many reported face recognition techniques rely heavily on the size and representative of training set, and most of them will suffer serious ...
متن کاملFace Recognition with One Training Image per Person
At present there are many methods that could deal well with frontal view face recognition. However, most of them cannot work well when there is only one training image per person. In this paper, an extension of the eigenface technique, i.e. (PC)A, is proposed. (PC)A combines the original face image with its horizontal and vertical projections and then performs principal component analysis on th...
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Article history: Received 30 August 2007 Received in revised form 29 March 2008 Accepted 19 May 2008
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ژورنال
عنوان ژورنال: Wireless Communications and Mobile Computing
سال: 2018
ISSN: 1530-8669,1530-8677
DOI: 10.1155/2018/7584942