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Image noise detection method, terminal and storage medium

A detection method and image noise technology, applied in the field of image processing, can solve problems such as large depth image errors, and achieve the effect of reducing errors

Active Publication Date: 2022-05-27
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When using the depth camera to measure the depth image of the target object, clear and accurate depth information is an important indicator to measure the performance of the depth camera. However, errors will inevitably occur during the manufacturing and assembly of the depth camera components, resulting in the obtained depth The error of the image is large

Method used

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  • Image noise detection method, terminal and storage medium
  • Image noise detection method, terminal and storage medium
  • Image noise detection method, terminal and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] The embodiment of the present application provides an image noise detection method, such as figure 1 As shown, the method can include:

[0060] S101. When a depth map of a target object is obtained by using a depth camera, construct point cloud data corresponding to the target object based on the depth map.

[0061] An image noise detection method provided by an embodiment of the present application is suitable for a scene where noise detection is performed on a depth map captured by a depth camera.

[0062]In the embodiment of the present application, the terminal uses the depth camera to photograph the target object, and uses the depth camera to obtain the depth map of the target object, and then the terminal constructs point cloud data corresponding to the target object based on the depth map.

[0063] In the embodiment of the present application, the depth camera may include at least one of a structured light device, a time-of-flight TOF device, and a binocular dev...

Embodiment 2

[0090] The embodiment of the present application provides an image noise detection method, such as Figure 5 As shown, the method can include:

[0091] S201. When the terminal obtains the depth map of the target object by using the depth camera, the terminal performs equidistant sampling on the depth map to obtain a two-dimensional sampling point set corresponding to the target object.

[0092] An image noise detection method provided by an embodiment of the present application is suitable for a scene where noise detection is performed on a depth map captured by a depth camera.

[0093] S202. The terminal constructs point cloud data according to the two-dimensional sampling point set and the depth map.

[0094] After the terminal performs equidistant sampling on the depth map and obtains the two-dimensional sampling point set corresponding to the target object, the terminal constructs point cloud data according to the two-dimensional sampling point set and the depth map.

[...

Embodiment 3

[0114] This embodiment of the present application provides a terminal 1, such as Image 6 As shown, the terminal 1 may include:

[0115] A construction unit 10, configured to construct point cloud data corresponding to the target object based on the depth map when the depth map of the target object is obtained by using the depth camera;

[0116] a plane fitting unit 11, for fitting the point cloud data to obtain a fitting plane;

[0117] A determination unit 12, configured to acquire a difference value set between the fitting plane and the point cloud data, and determine the spatial noise distribution of the depth map according to the difference value set.

[0118] Optionally, the terminal further includes: a sampling unit 13;

[0119] The sampling unit 13 is configured to perform equidistant sampling on the depth map to obtain a two-dimensional sampling point set corresponding to the target object;

[0120] The construction unit 10 is specifically configured to construct t...

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Abstract

An embodiment of the present application provides an image noise detection method, a terminal, and a storage medium. The method includes: when a depth map of a target object is obtained by using a depth camera, constructing point cloud data corresponding to the target object based on the depth map; The data is fitted to obtain the fitting plane; the difference set between the fitting plane and the point cloud data is obtained, and the spatial noise distribution of the depth map is determined according to the difference set.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular, to an image noise detection method, a terminal, and a storage medium. Background technique [0002] A depth image refers to an image that takes the depth from the image collector to each point in the scene as the pixel value, and the depth image directly reflects the geometry of the visible surface in the target object. The depth image can be calculated as point cloud data after coordinate transformation, and the point cloud data can also be inversely calculated to the depth image data. In the image frame provided by the depth data stream, each pixel represents the distance (in millimeters) from the object at the (x, y) coordinate to the object closest to the plane of the camera in the field of view of the depth camera. When using the depth camera to measure the depth image of the target object, clear and accurate depth information is an important indicator ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/55G06T7/80
CPCG06T7/0002G06T7/55G06T7/80G06T2207/10028
Inventor 徐乃江
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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