Depth estimation method and system

A technology of depth estimation and depth map, which is applied in the field of image processing, can solve the problems of high cost and decreased accuracy of depth estimation, and achieve the effects of improving accuracy, reducing complexity, improving robustness and environmental adaptability

Pending Publication Date: 2022-07-29
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A 3D structured light camera refers to a 3D camera that uses the principles of structured light and triangulation for depth measurement. However, the cost of depth estimation through a 3D structured light camera is high. If the 3D structured light camera is removed, the accuracy of depth estimation will decrease. decline

Method used

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  • Depth estimation method and system
  • Depth estimation method and system

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Embodiment Construction

[0033] The following description provides specific application scenarios and requirements of this specification, and is intended to enable those skilled in the art to make and use the content of this specification. Various partial modifications to the disclosed embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments and without departing from the spirit and scope of the description. application. Thus, this specification is not to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the claims.

[0034] The terminology used herein is for the purpose of describing particular example embodiments only and is not limiting. For example, as used herein, the singular forms "a," "an," and "the" can include the plural forms as well, unless the context clearly dictates otherwise. When used in this specification, the terms "comprising", "comprising" and / or "comp...

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Abstract

According to the depth estimation method and system provided by the invention, the heterogeneous binocular image of the target object is acquired, the cross-domain migration processing is performed on the heterogeneous binocular image to generate the homogeneous binocular image, and the homogeneous binocular image is input into the depth estimation network model. According to the invention, the depth map of the target object output by the depth estimation network model can be accurately obtained without depending on a 3D camera, and the effects of reducing cost and improving efficiency are achieved.

Description

technical field [0001] The present specification relates to the technical field of image processing, and in particular, to a depth estimation method and system. Background technique [0002] Depth estimation can be understood as: collecting an image of an object by an image acquisition device, and using the image of the object to estimate the vertical distance from each point of the object to the imaging plane of the image acquisition device, where the vertical distance is the depth information of the corresponding point on the object. [0003] In the prior art, depth information is widely used in various fields, such as the field of automatic driving, the field of face recognition, etc. Taking face recognition as an example, at present, most of the face brushing tools used on IoT (Internet of Things) devices are generally equipped with 3D structured light cameras to obtain the depth map of the face, and thus obtain the depth information of the face. 3D structured light cam...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/55G06N3/04G06N3/08
CPCG06T7/55G06N3/08G06T2207/20081G06T2207/20084G06N3/045
Inventor 王珂马晨光陈志远陈智泉胡永恒王泽荣方硕李瑞达马兵
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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