The present invention may provide a cylindrical convolutional neural network, and an apparatus and a method for recognizing an object and estimating a viewpoint by using same, the cylindrical convolutional neural network comprising a cylindrical kernel having a structure in which a plurality of weight columns corresponding to predetermined angular unit intervals are cylindrically rotated during 360-degree rotation, and when an input image of a predetermined size is applied, using the cylindrical convolutional neural network that performs a convolution operation while sliding the input image in a rotational direction of the cylindrical kernel and extracts feature vectors for multiple viewpoints according to angular unit intervals so as to recognize an object and determine a viewpoint, thereby making it possible to accurately identify and recognize the object as well as accurately determine when the object was photographed.
CYLINDRICAL CONVOLUTIONAL NEURAL NETWORK COMPUTING DEVICE, AND APPARATUS AND METHOD FOR RECOGNIZING OBJECT AND ESTIMATING VIEWPOINT BY USING SAME