The application discloses a focus depth
estimation method and device based on an event focus stack, which comprises the following steps: taking a full-focus image and a corresponding scene
depth map of a target scene by using a camera, calculating a defocus blur quantity, and post-rendering the full-focus image to obtain a focus stack, and simulating the focus stack to obtain an event focus stack; preprocessing the event focus stack by using a
voxel grid and a depth surface coding method to obtain an event
tensor, and constructing a multi-scale neural network to evaluate the focus degree of the event focus stack and estimate the scene depth, wherein the multi-scale neural network comprises a focus
information extraction module, a depth regression module and a
depth enhancement module; using the estimated scene depth to
train the multi-scale neural network in a supervised framework to obtain a target multi-scale neural network; and inputting the event
tensor into the target
network model to reconstruct a scene depth image to estimate the target scene depth.