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SG10201709945UA - Face detection using small-scale convolutional neural network (cnn) modules for embedded systems - Google Patents

Face detection using small-scale convolutional neural network (cnn) modules for embedded systems

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Publication number
SG10201709945UA
SG10201709945UA SG10201709945UA SG10201709945UA SG10201709945UA SG 10201709945U A SG10201709945U A SG 10201709945UA SG 10201709945U A SG10201709945U A SG 10201709945UA SG 10201709945U A SG10201709945U A SG 10201709945UA SG 10201709945U A SG10201709945U A SG 10201709945UA
Authority
SG
Singapore
Prior art keywords
cnn
scale
small
cascaded
face detection
Prior art date
Application number
SG10201709945UA
Inventor
Wang Xing
Seyfi Mehdi
Chen Minghua
Wai Ng Him
Liang Jie
Original Assignee
Altumview Systems Inc
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Filing date
Publication date
Application filed by Altumview Systems Inc filed Critical Altumview Systems Inc
Publication of SG10201709945UA publication Critical patent/SG10201709945UA/en

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  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
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  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Software Systems (AREA)
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  • Computational Linguistics (AREA)
  • Multimedia (AREA)
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  • Human Computer Interaction (AREA)
  • Neurology (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
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Abstract

FACE DETECTION USING SMALL-SCALE CONVOLUTIONAL NEURAL NETWORK (CNN) MODULES FOR EMBEDDED SYSTEMS Embodiments described herein provide various examples of a face detection system, based on using a small-scale hardware convolutional neutral network (CNN) module configured into a multi-task cascaded CNN. In some embodiments, a subimage-based CNN system can be configured to be equivalent to a large-scale CNN that processes the entire input image without partitioning such that the output of the subimage-based CNN system can be exactly identical to the output of the large-scale CNN. Based on this observation, some embodiments of this patent disclosure make use of the subimage-based CNN system and technique on one or more stages of a cascaded CNN or a multitask cascaded CNN (MTCNN) so that a larger input image to a given stage of the cascaded CNN or the MTCNN can be partitioned into a set of subimages of a smaller size. As a result, each stage of the cascaded CNN or the MTCNN can use the same small-scale hardware CNN module that is associated with a maximum input image size constraint. FIG. 47
SG10201709945UA 2016-11-30 2017-11-30 Face detection using small-scale convolutional neural network (cnn) modules for embedded systems SG10201709945UA (en)

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US201662428497P 2016-11-30 2016-11-30
US15/441,194 US10360494B2 (en) 2016-11-30 2017-02-23 Convolutional neural network (CNN) system based on resolution-limited small-scale CNN modules
US15/657,109 US10268947B2 (en) 2016-11-30 2017-07-21 Face detection using small-scale convolutional neural network (CNN) modules for embedded systems

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SG10201709945UA SG10201709945UA (en) 2016-11-30 2017-11-30 Face detection using small-scale convolutional neural network (cnn) modules for embedded systems

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