Anisotropic characteristic descriptor based image stitching method

A feature descriptor, anisotropic technology, applied in the field of image information processing, can solve problems such as poor robustness, decreased matching accuracy, and the impact of binary descriptor matching performance.

Active Publication Date: 2015-05-06
DALIAN UNIV OF TECH
View PDF4 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the poor robustness of FAST feature points, when it is applied to image stitching, the matching accuracy drops sharply due to the influence of feature points in non-overlapping areas and other outliers.
And when the image is deformed and distorted, the isotropic binary descriptor matching performance is also greatly affected

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
  • Anisotropic characteristic descriptor based image stitching method
  • Anisotropic characteristic descriptor based image stitching method
  • Anisotropic characteristic descriptor based image stitching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The present invention will be described in detail below in conjunction with specific embodiments and accompanying drawings.

[0055] A. Detect the reference image and the image to be registered (see attached Figure 5 (a) and 5(b)) feature points, and calculate the main direction of the feature points.

[0056] A1. Do grayscale processing on the reference image and the image to be registered first, and use the approximate value image of the determinant of the Hessian matrix to construct a Gaussian pyramid space. See formula (1) (2) for specific operation.

[0057] A2. Search for feature points in the 3×3×3 spatial neighborhood of each adjacent layer in the same group, and perform sub-image interpolation in the scale space to obtain the exact position coordinates of the feature points.

[0058] A3. Make a circle with the feature point as the center and 6δ as the radius, and calculate the Haar wavelet response of any point on the circular area with a size of 4δ in the x...

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 an anisotropic characteristic descriptor based image stitching method which is applicable to stitching of multiple images having overlapping relation. The anisotropic characteristic descriptor based image stitching method comprises the following steps of (A) detecting characteristic points of a reference image and an image to be registered and obtaining the main directions of the characteristic points; (B) adopting an anisotropic point-to-point sampling model to form multiple groups of two-value testing and obtain characteristic descriptors; (C) adopting a nearest neighbor method to conducting matching on the characteristic descriptors and utilizing a PROSAC method to obtain a homographic matrix; (D) obtaining an illumination gain compensation matrix through an error solution function and utilizing multiband fusion to obtain a panorama natural in transition. The anisotropic characteristic descriptor based image stitching method can accurately register images shot at different viewing angles and from viewing points to obtain clear and natural wide-viewing-angle scene images, also has simple complexity and high operation speed and accordingly has good application value on a monitoring system or a remote sensing system.

Description

technical field [0001] The invention belongs to the technical field of image information processing. The invention is an image stitching method based on anisotropic feature descriptors, which is suitable for stitching multiple images with a certain overlapping relationship taken at different viewing angles or viewpoints. Background technique [0002] Image stitching has become an increasingly popular research field, and has been widely used in outdoor surveillance systems, medical image analysis, remote sensing image processing, etc. When an ordinary camera is used to obtain a scene image with a wide field of view, the complete scene must be obtained by adjusting the focal length, but this will be at the expense of the resolution of the scene image. The problem of insufficient viewing angle can be solved by using expensive and complicated wide-angle lenses and scanning cameras, but the edges of wide-angle lenses are prone to distortion. Image stitching technology is to seam...

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): G06T5/50G06T3/40
Inventor 王洪玉刘宝王杰
Owner DALIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap