Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A three-dimensional image processing method and electronic device

A technology of three-dimensional image and processing method, applied in the field of three-dimensional rendering, can solve the problems of poor denoising ability, achieve accurate results and improve the effect of denoising ability

Active Publication Date: 2017-08-29
LENOVO (BEIJING) LTD
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] An embodiment of the present invention provides a three-dimensional image processing method, which is used to solve the technical problem of poor denoising ability of the rendering method in the prior art

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
  • A three-dimensional image processing method and electronic device
  • A three-dimensional image processing method and electronic device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] An embodiment of the present invention provides a three-dimensional image processing method, including: clustering the collected three-dimensional point cloud to obtain N categories, where N is a positive integer; wherein each category corresponds to a plane, and the three-dimensional point cloud is based on the three-dimensional The three-dimensional point cloud obtained by the object; take i as an integer from 1 to N, and perform the following steps respectively: determine the normal vector of the i-th plane according to the normal vector of each point in the i-th plane, and obtain a total of N The normal vector of the plane; take i as an integer from 1 to N, and carry out the following steps respectively: project the points included in the i-th plane into a plane according to the normal vector of the i-th plane, and the plane is A detection plane corresponding to the i-th plane; obtaining a total of N detection planes; rendering the N detection planes to obtain a thre...

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 discloses a 3D image processing method used for improving the denoising capacity during image rendering. The method comprises the steps of clustering collected 3D point clouds to obtain N categories, wherein N is a positive integer, each category corresponds to a plane, and the 3D point clouds are obtained according to a 3D object; making the value of i an integer from 1 to N and determining the normal vector of the ith plane according to the normal vector of each point in the ith plane to obtain the normal vectors of N planes totally; making the value of i an integer from 1 to N and projecting the points in the ith plane into a plane according to the normal vector of the ith plane, wherein the plane is a detection plane corresponding to the ith plane; obtaining N detection planes; rendering the N detection planes to obtain the 3D image corresponding to the 3D object. The invention further discloses a corresponding electronic device.

Description

technical field [0001] The invention relates to the technical field of three-dimensional rendering, in particular to a three-dimensional image processing method and electronic equipment. Background technique [0002] At present, large-scale 3D scene construction is mainly obtained by electronic devices such as 3D cameras. The basic process is to capture a series of depth and color images of the scene through a 3D camera, and then render them. However, the spatial error distribution of the 3D camera is relatively complex, with more noise and messy distribution. How to denoise the 3D image with depth to obtain a 3D image with a more accurate description of the scene is a key issue in scene rendering. [0003] Existing depth image denoising methods are mainly based on time-domain filtering and spatial filtering, that is, the spatial point set is filtered through the distribution of points in the neighborhood of each spatial point. But in a 3D image, there may also be some str...

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 Patents(China)
IPC IPC(8): G06T15/00G06T5/00
Inventor 林源张贺
Owner LENOVO (BEIJING) LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com