公开(公告)号：WO2016075081A1

公开(公告)日：2016-05-19

申请号：PCT/EP2015/076073

申请日：2015-11-09

Applicant: LEGO A/S

Inventor： VELIC, Marko ,  NOE, Karsten Østergaard ,  MOSEGAARD, Jesper ,  RIMESTAD, Jens ,  CHRISTENSEN, Brian Bunch

IPC: A63F13/65 ,  G06K9/00

CPC classification number: A63F13/65 ,  A63F13/213 ,  A63H33/08 ,  G06K9/00201 ,  G06K9/6202 ,  G06K9/6255 ,  G06K9/627 ,  G06N3/04 ,  G06N3/08 ,  G06N5/04

Abstract: System and method for automatic computer aided optical recognition of toys, for example, construction toy elements, recognition of those elements on digital images and associating the elements with existing information is presented. The method and system may recognize toy elements of various sizes invariant of toy element distance from the image acquiring device for example camera, invariant of rotation of the toy element, invariant of angle of the camera, invariant of background, invariant of illumination and without the need of predefined region where a toy element should be placed. The system and method may detect more than one toy element on the image and identify them. The system is configured to learn to recognize and detect any number of various toy elements by training a deep convolutional neural network.

Abstract translation: 介绍了玩具自动计算机辅助光学识别的系统和方法，例如建筑玩具元件，数字图像上的元素识别以及将元素与现有信息相关联的系统和方法。 该方法和系统可以识别来自例如照相机的图像获取装置的玩具元件距离不变的玩具元件，玩具元件的旋转不变，相机的角度不变，背景的不变量，照明的不变量，以及不具有 需要放置玩具元素的预定区域。 系统和方法可以检测图像上的多个玩具元素并识别它们。 该系统被配置为通过训练深卷积神经网络来学习识别和检测任何数量的各种玩具元件。