METHODS AND SYSTEMS USING CAMERA DEVICES FOR DEEP CHANNEL AND CONVOLUTIONAL NEURAL NETWORK IMAGES AND FORMATS

Title:

METHODS AND SYSTEMS USING CAMERA DEVICES FOR DEEP CHANNEL AND CONVOLUTIONAL NEURAL NETWORK IMAGES AND FORMATS

Document Type and Number:

WIPO Patent Application WO/2018/184192

Kind Code:

A1

Abstract:

Methods and systems are disclosed using camera devices for deep channel and Convolutional Neural Network (CNN) images and formats. In one example, image values are captured by a color sensor array in an image capturing device or camera. The image values provide color channel data. The captured image values by the color sensor array are input to a CNN having at least one CNN layer. The CNN provides CNN channel data for each layer. The color channel data and CNN channel data is to form a deep channel image that stored in a memory. In another example, image values are captured by sensor array. The captured image values by the sensor array are input a CNN having a first CNN layer. An output is generated at the first CNN layer using the captured image values by the color sensor array. The output of the first CNN layer is stored as a feature map of the captured image.

Inventors:

XU LIN (CN)
YANG LIU (CN)
YAO ANBANG (CN)
CAI DONGQI (CN)
WANG LIBIN (CN)
HU PING (CN)
WANG SHANDONG (CN)
CHENG WENHUA (CN)
GUO YIWEN (CN)
CHEN YURONG (CN)

Application Number:

PCT/CN2017/079677

Publication Date:

October 11, 2018

Filing Date:

April 07, 2017

Export Citation:

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Assignee:

INTEL CORP (US)
XU LIN (CN)
YANG LIU (CN)
YAO ANBANG (CN)
CAI DONGQI (CN)
WANG LIBIN (CN)
HU PING (CN)
WANG SHANDONG (CN)
CHENG WENHUA (CN)
GUO YIWEN (CN)
CHEN YURONG (CN)

International Classes:

H04N7/18

Domestic Patent References:

WO2017044214A1

2017-03-16

Foreign References:

CN205665733U	2016-10-26
CN106295533A	2017-01-04
CN105812746A	2016-07-27
US20170076195A1	2017-03-16

Other References: