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

An image processing method for converting 2D video to 3D video

An image processing and video technology, applied in the field of computer vision, can solve the problems of high labor cost and large amount of manual operation, and achieve the effect of reducing workload and convenient automatic object recognition and segmentation

Active Publication Date: 2016-01-20
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the process of computer-aided artificial 2D video to 3D video conversion, the operator needs to manually mark the object and use the image segmentation method to segment the complete outline of the object, which requires a lot of manual operations and high labor costs.
The manual cost of converting 2D video to 3D video of the movie "Titanic" is as high as 18 million US dollars

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
  • An image processing method for converting 2D video to 3D video
  • An image processing method for converting 2D video to 3D video
  • An image processing method for converting 2D video to 3D video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0051] refer to figure 1 , an image processing method for converting 2D video to 3D video, comprising the following steps:

[0052] a. Using images of target objects taken from different angles as sample images;

[0053] b. Calculate the color invariant image of each sample image, and extract the feature points in the color invariant image of the sample image;

[0054] c. Calculate the color invariant image of the image to be recognized, and extract the feature points in the color invariant image of the image to be recognized;

[0055] d. Match the feature points in the color invariant image of the image to be recognized with the feature points in the color invariant image of the sample image;

[0056] e. ...

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

An image processing method for converting 2D (2-dimensional) video into 3D (3-dimensional) video comprises the steps of taking images, shot from different angles, of a target object as sample images, calculating color invariable images of the sample images and a to-be-identified image, extracting feature points from the color invariable images, matching the feature points in the color invariable image of the to-be-identified image with the feature points in the color invariable images of the sample images, judging whether the target object exists in the to-be-identified image according to distribution of the feature points matched successfully, if the target object exists in the to-be-identified image, dividing a target object outline based on the feature points matched successfully. The method can identify the target object when the 2D video is converted into the 3D video, precisely divides the object outline, and greatly reduces the workload of manual operation.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an image processing method for converting 2D video to 3D video. Background technique [0002] Object recognition needs to recognize the target object from the complex environment, so that the computer has a preliminary cognitive ability. If the objects in the image can be recognized, part of the three-dimensional information in the image can be restored. Both image analysis and object tracking require a good performance object recognition algorithm as the basis. In image retrieval, security monitoring, medical imaging, robot vision and other fields, object recognition has important applications. The advancement of object recognition technology can further promote the development of related fields in the direction of intelligence and automation. [0003] In the process of computer-aided artificial 2D video to 3D video conversion, the operator needs to manually mark the ...

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): H04N13/00H04N15/00
Inventor 王好谦张新邵航戴琼海
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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