Abstract
A neural network image feature extraction method applicable to a 360 image includes the following steps: projecting the 360 image onto a cubic to generate a group of images including a plurality of images and having a connection with each other; using the image group as an input of a neural network, wherein when one operation layer of the neural network performs padding operation on one of the plurality of images, the connection relationship between the plurality of adjacent image is used such that the padded portion at the image boundary is filled with the data of neighboring images in order to retain the characteristics of the boundary portion of the image; and by the arithmetic operation of the neural network of such layers with the padded feature map, an image feature map is produced.