A Scale Criterion Based Panoramic Image Sift Optimization Method
A panoramic image and optimization method technology, which is applied in the directions of instruments, calculations, character and pattern recognition, etc., can solve the problems that automatic matching cannot be realized, and achieve the effect of improving algorithm accuracy and matching precision
Active Publication Date: 2020-07-28
HARBIN ENG UNIV
View PDF6 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the current image matching technology is still facing the problem of being unable to achieve fully automatic matching. We hope that the computer can automatically complete the matching between multi-source images according to the set program without any manual intervention. For this reason, we propose A scale criterion-based SIFT optimization method for panoramic images is proposed. The algorithm has the ability to detect mismatched pairs by itself and improves the matching accuracy of the SIFT algorithm.
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0025] The present invention will be further described below in conjunction with the accompanying drawings.
[0026] Such as figure 1 Shown is the system flowchart of the present invention. The detailed process is as follows:
[0027] Step 1. Utilize the panoramic vision imaging system to take two panoramic images at different positions on the same horizontal plane;
[0028] Step 2. Adjust the number of layers in the original SIFT algorithm from 3 to 6, and perform SIFT feature extraction and matching on the two images;
[0029] Step 3. For each SIFT feature matching pair, judge the positional relationship between the image positions of the two feature points in the matching pair and the panoramic image circle, if the feature points are all in the circle, then perform panoramic imaging criterion 1, if If they are all outside the circle, the panoramic imaging criterion 2 is executed; for each SIFT feature matching pair, the scale relationship between the two feature points i...
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
Login to View More Abstract
The invention proposes a scale criterion-based SIFT optimization method for panoramic images. Aiming at the problem of mismatching in the SIFT matching algorithm, a mechanism is invented that enables the computer to identify and eliminate the mismatching feature pairs in the panoramic vision image by itself. For each SIFT feature matching pair, the algorithm performs panoramic imaging system criterion and scale criterion respectively. If there is a conflict between the conclusions of the two criteria, the matching pair is regarded as a mismatching pair and removed; If there is no conflict in the conclusion of this criterion, the matching pair is regarded as a correct matching pair and the matching pair is retained. Compared with the traditional SIFT algorithm, this algorithm has the ability to detect mismatched pairs by itself, which improves the matching accuracy of the SIFT algorithm.
Description
technical field [0001] The invention belongs to the field of image matching in computer vision, and in particular relates to a panoramic image SIFT optimization method based on scale criterion. Background technique [0002] Currently, image matching is one of the most difficult problems in computer vision. For example, when a spatial three-dimensional scene is projected into a two-dimensional image, the images of the same scene at different viewpoints will be very different, and many factors in the scene such as lighting conditions, scene geometry and physical characteristics, noise interference and Distortion and camera characteristics, etc., have changed the gray value of the image to a certain extent. [0003] With the development of computers, image matching is now more and more widely used. For example, image matching technology can be applied in the military field. For example, in the field environment, we need to match and fuse the obtained infrared images and visibl...
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
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46
CPCG06V10/462
Inventor 朱齐丹纪勋王靖淇
Owner HARBIN ENG UNIV