Invention Grant
- Patent Title: Methods and systems for training an object detection algorithm using synthetic images
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Application No.: US15839247Application Date: 2017-12-12
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Publication No.: US10552665B2Publication Date: 2020-02-04
- Inventor: Ivo Moravec , Jie Wang , Syed Alimul Huda
- Applicant: SEIKO EPSON CORPORATION
- Applicant Address: JP Tokyo
- Assignee: SEIKO EPSON CORPORATION
- Current Assignee: SEIKO EPSON CORPORATION
- Current Assignee Address: JP Tokyo
- Agency: Oliff PLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T19/00 ; G06T7/70

Abstract:
A non-transitory computer readable medium embodies instructions that cause one or more processors to perform a method. The method includes: (A) receiving a selection of a 3D model stored in one or more memories, the 3D model corresponding to an object, and (B) setting a camera parameter set for a camera for use in detecting a pose of the object in a real scene. The method also includes (C) receiving a selection of data representing a view range, (D) generating at least one 2D synthetic image based on the camera parameter set by rendering the 3D model in the view range, (E) generating training data using the at least one 2D synthetic image to train an object detection algorithm, and (F) storing the generated training data in one or more memories.
Public/Granted literature
- US20190180082A1 METHODS AND SYSTEMS FOR TRAINING AN OBJECT DETECTION ALGORITHM USING SYNTHETIC IMAGES Public/Granted day:2019-06-13
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