An image depth estimation method and system

Abstract

The present invention disclosed a method and system of image depth estimation. The implementation of the methods includes: building an in -depth estimation network, the depth estimation network includes: coding part, convolution connection part and decoding part, the anti -volume layer and encoding part of the decoding part, the decoding partThe last layer of convolutional layers of the same convolutional block of the same scale is connected to form the final anti -convolutional layer; select the two continuous images in the sample image and the depth diagram of one of the images as the training sample, and use the training sample to use the training sampleTraining in -depth estimation network, get training in depth estimation network; collect testing images, extract the current frame image of the test image and the previous frame of the current frame image; enter the current frame image and the color channel of the previous frame image input training well.Estimate the network in depth to obtain the depth diagram of the current frame image.The method of the present invention is high efficiency, and the depth diagram has high accuracy and strong denseness.

Description

technical field [0001] The invention belongs to the field of computer vision, and more particularly relates to an image depth estimation method and system. Background technique [0002] Image depth estimation is widely used in smart car obstacle avoidance, robot control, car assisted driving, augmented reality and other application fields. Vision-based image depth estimation in road scenes uses computer vision technology to obtain guidance information by processing images captured by cameras. Compared with other guidance techniques, the vision-based method does not need to add other sensor facilities, and it is easy to expand the acquisition equipment. With the increase in the number of vehicles in our country and the increasingly complex road conditions and higher requirements for assisted driving functions, vision-based image depth estimation has also been widely used in intelligent assisted driving. [0003] At present, the depth estimation methods based on computer vis...

AI Technical Summary

Problems solved by technology

[0007] In view of the above defects or improvement needs of the prior art, the present invention provides an image depth estimation method and system, the purpose of which is to construct a depth estimation network, use training samples to train the depth estimation network, and obtain a trained depth estimation network; collect and test The image is input to the depth estimation network to obtain a depth map, thereby solving the technical problems of low accuracy and low efficiency in the existing technology, and the final depth map is non-dense

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