Virnect Inc.

Virnect Co., Ltd.

Thorsten Korpitsch

Ki Young Kim

A method of learning a target object by detecting an edge from a digital model of the target object and setting a sample point according to one embodiment of the present disclosure, which is performed by a computer-aided design program of an authoring computing device, includes: displaying a digital model of a target object that is a target of image recognition; detecting edges on the digital model of the target object; classifying the detected edges according to a plurality of characteristics; obtaining sample point information on the detected edges; and generating object recognition library data for recognizing a real object implementing the digital model of the target object based on the detected edges, characteristic information of the detected edges, and the sample point information.

Method of learning a target object by detecting an edge from a digital model of the target object and setting sample points, and method of augmenting a virtual model on a real object implementing the target object using the learning method

Provided is a method of learning a target object implemented on a computer-aided design program of an authoring computing device using a virtual viewpoint camera, including displaying a digital model of a target object that is a target for image recognition, setting at least one observation area surrounding the digital model of the target object and having a plurality of viewpoints on the digital model, generating a plurality of pieces of image data obtained by viewing the digital model of the target object at the plurality of viewpoints of the at least one observation area, and generating object recognition library data for recognizing a real object implementing the digital model of the target object based on the generated plurality of pieces of image data.

Method of learning a target object using a virtual viewpoint camera and a method of augmenting a virtual model on a real object implementing the target object using the same

The present disclosure provides a method for recognizing 2D code information. A method for recognizing 2D code information according to the present disclosure, which is related to a method for recognizing 2D code information by capturing a 2D code image composed of rectangular cells, comprises obtaining a 2D code image using a mobile device equipped with a camera or an image capture device; performing a first data extraction process that identifies individual blocks storing a position pattern, an alignment pattern, and data from the obtained 2D code image; setting a first weight for removing outer blocks located outside a line connecting the position pattern and the alignment pattern with respect to a central block among the individual blocks of the 2D code image on which the first data extraction process has been performed; partitioning inner blocks located inside the position pattern and the alignment pattern among individual blocks of the 2D code image into a plurality of block groups composed of at least one or more inner blocks and setting a second weight for determining whether to select a block group according to a recognition rate of blocks constituting each block group; removing outer blocks set to the first weight and selecting a block group for which a weight has been set as having a high recognition rate among block groups set to the second weight; determining and recognizing a 2D code by comparing the selected block group with a block group of a pre-stored 2D code; and displaying an object to a user in the form of augmented reality based on the recognized 2D code information.

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Schwechat Vienna, Austria

Thorsten Korpitsch