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公开(公告)号：US20180082107A1
公开(公告)日：2018-03-22
申请号：US15562133
申请日：2015-03-27
Applicant: Intel Corporation
Inventor： Jianguo Li , Yurong Chen , Ke Chen , Ye-Jen Chiu
CPC classification number: G06K9/00281 , G06K9/00288 , G06K9/4619 , G06K9/6228 , G06K9/623
Abstract: Methods and systems may provide for facial recognition of at least one input image utilizing hierarchical feature learning and pair-wise classification. Receptive field theory may be used on the input image to generate a pre-processed multi-channel image. Channels in the pre-processed image may be activated based on the amount of feature rich details within the channels. Similarly, local patches may be activated based on the discriminant features within the local patches. Features may be extracted from the local patches and the most discriminant features may be selected in order to perform feature matching on pair sets. The system may utilize patch feature pooling, pair-wise matching, and large-scale training in order to quickly and accurately perform facial recognition at a low cost for both system memory and computation.
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