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

Method for calibrating parabolic refraction and reflection camera via single ball and parallel circle properties

A catadioptric, parallel circle technology, applied in the field of computer vision, which can solve the problems of complex ring point selection

Inactive Publication Date: 2017-05-10
YUNNAN UNIV
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the selection of the image of the ring point in this document is more complicated

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
  • Method for calibrating parabolic refraction and reflection camera via single ball and parallel circle properties
  • Method for calibrating parabolic refraction and reflection camera via single ball and parallel circle properties

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0048] The invention proposes a method for linearly determining internal parameters of a parabolic catadioptric camera by using a sphere in space as a target. The experimental template structural schematic diagram that the present invention adopts is as figure 1 shown. The implementation of the present invention will be described in more detail with an example below.

[0049] The experimental template used in the calibration of parabolic catadioptric cameras based on spheres in space is a sphere in space, such as figure 1 As shown, the ball is . Utilize the method among the present invention to carry out calibration for the parabolic catadioptric camera that is used for experiment, concrete steps are as follows:

[0050] 1. Fit image boundary and target curve equation

[0051] The image size used in the present invention is . Use the parabolic catadioptric camera to shoot 3 experimental images of the target, read the images, use the Edge function in Matlab to extract...

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

A method for calibrating a parabolic refraction and reflection camera via single ball and parallel circle properties is disclosed. In a parabolic refraction and reflection system, two small parallel circles are formed when a ball is projected onto a unit visual ball for a first time. The two parallel circles in a space have two pairs of conjugated virtual intersection points, and two conjugated virtual intersection points that are collinear with a point at infinity on a plane where space circles are positioned are circular ring points. An image of the circular ring points is obtained on an image plane according to colinearity of the image of the circular ring points and a vanishing point; three images provide images of three groups of circular ring points. Intrinsic parameters of the camera are solved via constraints posed on an absolute conic image by the images of the circular ring points. The method specifically comprises the following steps: a mirror surface contour projection equation and a target projection equation are fitted, an antipodal sphere image of a sphere image is estimated, the images of the circular ring points are determined, and the intrinsic parameters of the parabolic refraction and reflection camera are solved.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to a method for solving the internal parameters of a parabolic catadioptric camera by using the properties of a sphere and a parallel circle in space. Background technique [0002] The central task of computer vision is to understand images, and its ultimate goal is to enable computers to have the ability to recognize three-dimensional environmental information through two-dimensional images. This ability will not only enable the machine to perceive the geometric information of objects in a three-dimensional environment including shape, posture, motion, etc., but also describe, store, recognize and understand them. Camera calibration is to determine the mapping relationship from a three-dimensional space point to its two-dimensional image point, which is an essential step in many computer vision applications. In order to determine this mapping process, it is necessary to establish a geo...

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): G06T7/80
Inventor 赵越李远珍
Owner YUNNAN 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