LOW-COST FACE RECOGNITION USING GAUSSIAN RECEPTIVE FIELD FEATURES

Title:

LOW-COST FACE RECOGNITION USING GAUSSIAN RECEPTIVE FIELD FEATURES

Document Type and Number:

WIPO Patent Application WO/2016/154781

Kind Code:

A1

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.

Inventors:

LI JIANGUO (CN)
CHEN YURONG (CN)
CHEN KE (US)
CHIU YE-JEN (US)

Application Number:

PCT/CN2015/075190

Publication Date:

October 06, 2016

Filing Date:

March 27, 2015

Export Citation:

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Assignee:

INTEL CORP (US)
LI JIANGUO (CN)
CHEN YURONG (CN)
CHEN KE (US)
CHIU YE-JEN (US)

International Classes:

G06V10/771

Foreign References:

CN103345624A	2013-10-09
US20120087552A1	2012-04-12
CN102096823A	2011-06-15
CN101419671A	2009-04-29

Other References: