METHOD FOR ESTIMATING DEPTH OF SCENE IN IMAGE AND COMPUTING DEVICE FOR IMPLEMENTATION OF THE SAME

摘要

The present invention relates to a method for estimating a depth of a scene in a scene image and a computing device for implementing said method, in which a scene depth estimation model obtained by neural network technologies is used. A technical result consists in enabling accurate and reliable scene depth estimate from a single image on a computing device that has limited computing resources and does not have special-purpose components for estimating the scene depth. Provided is the method for estimating a depth of a scene in an image, comprising the steps of: obtaining the image; estimating the depth of the scene on the image using a scale-invariant model that is based on a neural network having lightweight architecture, that is trained using training images, wherein at each training iteration, using a mixture of images randomly selected from training images with absolute data, training images with UTS (Up-to-Scale) data, and training images with UTSS (Up-to-Shift-Scale) data in random proportions.