Title:
LEARNING DATASET CREATION METHOD AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2019/189661
Kind Code:
A1
Abstract:
Provided are a method and a device that can efficiently create a learning dataset, which is used for machine learning and targets a plurality of objects. Object information is associated with a visual marker, a learning dataset generation jig that is configured from a base part and a marker is used, said base part being provided with an area that serves as a guide for positioning a target object and said marker being fixed on the base part, the target object is positioned using the area as a guide and in this condition an image group of the entire object including the marker is acquired, the object information that was associated with the visual marker is acquired from the acquired image group, a reconfigured image group is generated from this image group by performing a concealment process on a region corresponding to the visual marker or the learning dataset generation jig, a bounding box is set in the reconfigured image group on the basis of the acquired object information, information relating to the bounding box, the object information, and estimated target object position information and location information are associated with a captured image, and a learning dataset for performing object recognition and location/position estimation for the target object is generated.
Inventors:
TOMOCHIKA KEITA (JP)
KIYOKAWA TAKUYA (JP)
OGASAWARA TSUKASA (JP)
TAKAMATSU JUN (JP)
DING MING (JP)
KIYOKAWA TAKUYA (JP)
OGASAWARA TSUKASA (JP)
TAKAMATSU JUN (JP)
DING MING (JP)
Application Number:
PCT/JP2019/013793
Publication Date:
October 03, 2019
Filing Date:
March 28, 2019
Export Citation:
Assignee:
NATIONAL UNIV CORPORATION NARA INSTITUTE OF SCIENCE AND TECHNOLOGY (JP)
International Classes:
G06T7/00; B25J13/08; G06V10/764; G06V10/774
Foreign References:
| JP2017102838A | 2017-06-08 | |||
| JP2014096661A | 2014-05-22 |
Other References:
TOMOCHIKA, KEITA: "Automatic annotation of training data using visual markers for object detection in automated factories", NARA INSTITUTE OF SCIENCE AND TECHNOLOGY- PROCEEDINGS OF INFORMATION SCIENCE PHD THESIS OF NARA INSTITUTE OF SCIENCE AND TECHMOLOGY, 23 March 2018 (2018-03-23), pages 1 - 45, Retrieved from the Internet [retrieved on 20190521]
KEHL, W. ET AL.: "SSD-6D: making RGB-based 3D detection and 6D pose estimation great again", 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, 25 December 2017 (2017-12-25), pages 1530 - 1538, XP055638639
KEHL, W. ET AL.: "SSD-6D: making RGB-based 3D detection and 6D pose estimation great again", 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, 25 December 2017 (2017-12-25), pages 1530 - 1538, XP055638639
Attorney, Agent or Firm:
THE PATENT CORPORATE BODY GLOBAL INTELLECTUAL PROPERTY (JP)
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