公开(公告)号：US11450017B1

公开(公告)日：2022-09-20

申请号：US17742821

申请日：2022-05-12

Applicant: Tsinghua University

Inventor： Lu Fang ,  Zhihao Xu ,  Xiaoyun Yuan ,  Tiankuang Zhou ,  Qionghai Dai

IPC: G06T7/557 ,  H04N13/128 ,  G06N3/04 ,  H04N13/00 ,  H04N13/239 ,  H04N13/271 ,  G06T7/593 ,  G02B27/14

Abstract: A method for intelligent light field depth classification based on optoelectronic computing includes capturing and identifying binocular images of a scene within a depth range through a pair of binocular cameras; mapping each depth value in the depth range to a disparity value between the binocular images, to obtain a disparity range of the scene within the depth range; labeling training data based on the disparity range to obtain a pre-trained diffraction neural network model; loading a respective weight for each layer of a network obtained after training into a corresponding optical element based on the pre-trained diffraction neural network model; and after the respective weight for each layer of the network is loaded, performing forward propagation inference on new input data of the scene, and outputting a depth classification result corresponding to each pixel in the binocular images of the scene.