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

Rendering flawed image detection method based on image recognition

An image detection and image recognition technology, applied in the field of rendering image defect detection, can solve problems such as limiting the rendering automation process and efficiency, and achieve the effect of reducing labor costs and improving quality

Active Publication Date: 2017-02-22
上海赞奇文化科技有限公司
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this kind of abnormal image is an occasional situation in the rendering result, it generally exists in isolation. In rare cases, two consecutive frames of rendering error images will appear, but such errors cause the entire rendering process to rely heavily on manual post-processing and troubleshooting. This greatly limits the automation process and efficiency of rendering. For this reason, this patent designs an algorithm to automatically identify and render abnormal frame images to improve the automation level of the rendering process and improve rendering efficiency.

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
  • Rendering flawed image detection method based on image recognition
  • Rendering flawed image detection method based on image recognition
  • Rendering flawed image detection method based on image recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The present invention will be described in detail below in conjunction with various embodiments shown in the drawings.

[0023] refer to figure 1 Shown is a flow chart of a preferred system of the present invention, which is divided into input images and serialization processing, determination of single-pixel neighborhood templates, shifting and differential calculation of sequence image matrices, post-processing of differential modulus matrices, and statistical detection of bad Frame image and so on five steps.

[0024] refer to figure 2 The picture on the left is the picture of the normal rendering result, and the picture on the right is the picture of the abnormal rendering result. Because of the material loading problem, it can be clearly seen that the rendering of the grassland in the lower right corner of the right picture is abnormal, and there is a significant difference from the corresponding area in the left picture. The two frames of images are subtracted...

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 provides a rendering flawed image detection method based on image recognition. The method comprises the following steps of inputting a rendering flawed image to be detected; calculating a differential matrix of the rendering image; determining the dimension of a detection template according to the rendering image change rate; calculating the neighbourhood minimum pixel difference of each pixel point in each frame of image according to the detection template; judging the located position of a broken frame image and flaws according to the minimum pixel differences. By aiming at the problems existing in the prior art, the invention aims at providing a video flaw detection method; flaw parts in the rendering result video image are fast detected.

Description

technical field [0001] The present invention designs a rendering image defect detection technology, especially a method for rendering image defect detection. Background technique [0002] Due to the large demand for computing resources and storage resources for home decoration and film and television rendering, the use of large-scale cloud computing technology to complete such rendering has become a mainstream technology. Therefore, the rendering system faces many different types of rendering tasks. During the resource loading process, there is a certain probability that some computing nodes cannot guarantee that all resources are loaded normally, which will cause some rendering nodes to render abnormally. When summarizing the rendering result image files, manual detection is used to identify the result images that have differences between the rendered scene and its adjacent images, define such images as abnormal frame images, and re-render them to correct errors. Although ...

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): G06T7/00G06T15/00
CPCG06T7/0002G06T15/005G06T2207/10016
Inventor 常兴治朱川
Owner 上海赞奇文化科技有限公司
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