Invention Grant
- Patent Title: Systems and methods for keypoint detection with convolutional neural networks
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Application No.: US15924162Application Date: 2018-03-16
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Publication No.: US11379688B2Publication Date: 2022-07-05
- Inventor: Paolo Di Febbo , Carlo Dal Mutto , Kinh Tieu
- Applicant: PACKSIZE LLC
- Applicant Address: US UT Salt Lake City
- Assignee: PACKSIZE LLC
- Current Assignee: PACKSIZE LLC
- Current Assignee Address: US UT Salt Lake City
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08 ; G06T7/00 ; G06T7/246 ; G06N3/04 ; G06V10/44 ; G06V10/46 ; G06V10/75 ; H04N5/33 ; G06N3/063

Abstract:
A keypoint detection system includes: a camera system including at least one camera; and a processor and memory, the processor and memory being configured to: receive an image captured by the camera system; compute a plurality of keypoints in the image using a convolutional neural network including: a first layer implementing a first convolutional kernel; a second layer implementing a second convolutional kernel; an output layer; and a plurality of connections between the first layer and the second layer and between the second layer and the output layer, each of the connections having a corresponding weight stored in the memory; and output the plurality of keypoints of the image computed by the convolutional neural network.
Public/Granted literature
- US20180268256A1 SYSTEMS AND METHODS FOR KEYPOINT DETECTION WITH CONVOLUTIONAL NEURAL NETWORKS Public/Granted day:2018-09-20
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