Unlock instant, AI-driven research and patent intelligence for your innovation.

Depth estimation method and device based on binocular defocus image, medium and equipment

A depth estimation, binocular technique, applied in the field of computer vision

Pending Publication Date: 2021-06-11
BEIJING ZOHETEC CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problems described above, the present invention provides a depth estimation method, device, medium and equipment based on binocular defocused images

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Depth estimation method and device based on binocular defocus image, medium and equipment
  • Depth estimation method and device based on binocular defocus image, medium and equipment
  • Depth estimation method and device based on binocular defocus image, medium and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined arbitrarily with each other.

[0041] figure 1 is a flowchart of a depth estimation method based on binocular defocused images according to an exemplary embodiment, as shown in figure 1 As shown, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a depth estimation method and device based on a binocular defocus image, a medium and equipment. The method comprises the following steps: acquiring an image pair of the same scene by using a calibrated binocular camera; carrying out distortion removal processing and stereo correction on the image pair to obtain a corrected image pair with aligned epipolar lines; carrying out binocular stereo matching on the corrected image pair, and outputting an initial depth estimation value of each pixel point; establishing a defocus mask image pair to carry out viewpoint transformation, and obtaining defocus depth estimation of each pixel point based on two defocus mask images of the same viewpoint; optimizing the initial depth estimated value by using defocus depth estimation; and collecting the edge information of the image to refine the optimized depth estimation result, and determining the final depth of each pixel point. Through the method provided by the invention, the accuracy of depth estimation can be effectively improved.

Description

technical field [0001] The present invention relates to the technical field of computer vision, in particular to a depth estimation method, device, medium and equipment based on binocular defocused images. Background technique [0002] The acquisition of 3D information of the scene is an important issue in the field of computer vision. With the continuous development of the intelligent industry, people's demand for 3D information is becoming more and more abundant, such as 3D reconstruction of indoor and outdoor scenes, automatic driving of drones and unmanned vehicles, AR / VR applications, human body and face reconstruction, etc. Depth estimation plays a vital role as the basis of subsequent algorithms, and greatly affects the upper limit of the final 3D application. At present, the depth estimation algorithm based on binoculars has attracted the attention of the industry and researchers due to its high cost performance and the ability to work outdoors. Problems such as di...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/593G06T7/564G06T5/00G06T7/80
CPCG06T7/593G06T7/564G06T7/85G06T2207/10012G06T2207/20081G06T2207/20084G06T5/80
Inventor 袁潮温建伟刘烨斌周玥眉赵月峰
Owner BEIJING ZOHETEC CO LTD