Image adaptive motion estimation method and application

• Main Authors: HOU ZENGTAO, FU WEILIAN, YANG DELONG, WANG BO, SHANG PENG
• Format: Patent
• Language: Chinese; English
• Published: 26.03.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

At present, the existing algorithm does not consider the time interval between image sequences, and assumes that all images are acquired at the same moment, so that a certain error exists in calculation. The invention provides an image adaptive motion estimation method. The method comprises the steps of constructing a first deep convolutional neural network and a second deep convolutional neural network; constructing a target function according to the first deep convolutional neural network and the second deep convolutional neural network, and training the first deep convolutional neural network and the second deep convolutional neural network at the same time through the target function, obtaining a first deep convolutional neural network with fixed parameters and a second deep convolutional neural network with fixed parameters; and inputting the monocular image into a first deep convolutional neural network to output a parallax image corresponding to the monocular image, and inputting an image sequence into