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

Digital ball identification method based on sparse representation and discriminant analysis

A sparse representation and recognition method technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as different observation results, different viewing angles, and inability to obtain spherical information recognition

Inactive Publication Date: 2011-04-27
ZHEJIANG UNIV
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because the digital ball has problems such as three-dimensional rotation and different viewing angles, it leads to different observation results
In addition, through a single camera, we can only get part of the information of the digital ball, and cannot get the complete spherical information for identification

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
  • Digital ball identification method based on sparse representation and discriminant analysis
  • Digital ball identification method based on sparse representation and discriminant analysis
  • Digital ball identification method based on sparse representation and discriminant analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0066] Such as Figure 4 As shown, a digital ball recognition method based on sparse representation and decision analysis, including:

[0067] (1) Place each digital ball in the digital ball set separately on a monochromatic background, and use a single camera to continuously collect single or multiple images, such as figure 1 As shown, there is only one digital ball in each picture, forming a training sample set, locating the ball in the image and extracting visual features, and establishing a sparse representation of the training sample set:

[0068] Place each digital ball in the digital ball set separately on a black background, and use a single camera to continuously collect single or multiple images as a training sample set. The images obtained each time are from a single perspective; Preprocessing, using the Canny operator for edge detection to obtain a binary image, and then giving the approximate radius of the circle, using the Hough transform or circumcircle constru...

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 digital ball identification method based on sparse representation and discriminant analysis, which comprises the following steps of: putting each digital ball in a digital ball set under a monocolor background, continuously acquiring a single image or a plurality of images by using a single camera, automatically positioning the digital ball in each image, extracting visual features, and establishing sparse representation for all features to form a training sample feature set; putting one or more digital balls to be identified in the same scene, acquiring a single image or a plurality of images, automatically positioning all digital balls in each image, extracting sub-images, extracting visual features of the sub-images, and establishing the sparse representation of the sub-images by utilizing the training sample feature set; and identifying by adopting a discriminant analysis method, wherein for the condition of a plurality of images, joint posterior discrimination is adopted to improve identification precision. By fully utilizing the sparse representation and the discriminant analysis, the method is applied to identification of a single ball or a plurality of balls under the monocolor background and has good identification effect.

Description

technical field [0001] The invention belongs to the field of image sparse representation and probability calculation, in particular to a digital ball recognition method based on sparse representation and decision analysis. Background technique [0002] Traditional character recognition operates on planes, but if these plane operations are used on curved surfaces, many problems will arise. But many things in our life are not just recognized on the plane, it is a very meaningful and practical method for the recognition on curved surfaces and even irregular figures. A digital ball is a ball with a unique number printed on its surface, so we need a new method to identify the digital information on the ball. We first realize the recognition of still pictures, and then continuously shoot the high-speed moving digital ball, and then recognize it. This is a very challenging and industrially valuable problem. [0003] Since it is operated on a spherical surface, it is necessary to ...

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
IPC IPC(8): G06K9/00G06K9/66
Inventor 王东辉程丽莉邓霄
Owner ZHEJIANG 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