Abstract: The present invention relates to an artificial intelligence-based method for manufacturing a 3D prosthesis for tooth restoration, the method including the steps of (a) obtaining an image of arrangement of teeth including an abutment tooth and a 3D modeling image of a crown which is a prosthesis, (b) preprocessing the 3D modeling image of the abutment tooth and the 3D modeling image of the crown into a 2D image so as to establish a learning dataset, (c) performing first artificial intelligence learning by using an artificial intelligence image conversion algorithm with the abutment tooth image and the crown image having been established into the learning dataset as reference data and a crown image generated appropriately to be intubated into the abutment tooth considering a shape and a size of a peripheral tooth of the abutment tooth as a correct answer data, and (d) performing second artificial intelligence learning for extracting a 3D learning image of a crown in which a volume is assigned to the 2D learning

Abstract: An image recognition method and device are disclosed. The disclosed device may include: a reference image storage unit configured to convert reference images into 1-dimensional vectors and store the converted 1-dimensional vectors; an image acquisition unit configured to obtain an input image; an image converter unit configured to convert the input image into a 1-dimensional vector, apply dimension reduction, and calculate coefficients for expressing the input image as a linear sum of vectors forming a reference image for each of the reference images; and a determiner unit configured to determine a reference image corresponding to the input image by performing a subtraction computation of subtracting a value obtained by applying the coefficients calculated for each reference image to a relevant reference image from the converted input image. The invention makes it possible to perform image recognition at a fast speed and lower the likelihood of the users' privacy being invaded.

Abstract: An image recognition method and device are disclosed. The disclosed device may include: a reference image storage unit configured to convert reference images into 1-dimensional vectors and store the converted 1-dimensional vectors; an image acquisition unit configured to obtain an input image; an image converter unit configured to convert the input image into a 1-dimensional vector, apply dimension reduction, and calculate coefficients for expressing the input image as a linear sum of vectors forming a reference image for each of the reference images; and a determiner unit configured to determine a reference image corresponding to the input image by performing a subtraction computation of subtracting a value obtained by applying the coefficients calculated for each reference image to a relevant reference image from the converted input image. The invention makes it possible to perform image recognition at a fast speed and lower the likelihood of the users' privacy being invaded.