Image matching method and device based on feature detection, equipment and medium

A feature detection and matching method technology, applied in the field of image matching models and algorithms of computer vision, can solve the problems of difficult to filter outliers, large lighting influence, etc., to achieve the effect of less time-consuming, good matching effect, and fast calculation.

Pending Publication Date: 2021-08-24
SHANGHAI OCEAN UNIV
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Problems solved by technology

[0003] However, the traditional SIFT algorithm plus BoW model has the following problems: SIFT algorithm plus BoW model is a global feature matching based on deep learning, which requires the creation of a data set and model training, and the traditional SIFT algorithm extracts image features. , is greatly affected by illumination; in addition, in the image matching task, there are many outliers in the initial matching, and it is currently difficult to filter the outliers efficiently and quickly

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  • Image matching method and device based on feature detection, equipment and medium
  • Image matching method and device based on feature detection, equipment and medium
  • Image matching method and device based on feature detection, equipment and medium

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[0042] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0043] figure 1 The flow chart of the image matching method based on feature detection provided by the embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0044] S1: After inputting the original image and the template image, detect feature points by SIFT method, extract N feature points, and generate feature descriptors according to the coordinates, scale and direction of each feature point;

[0045] Specifically, the feature points in the origina...

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Abstract

The invention provides an image matching method and device based on feature detection, equipment and a medium, and the method comprises the steps: inputting an original image and a template image, detecting feature points through an SIFT method, extracting N feature points, and generating a feature descriptor according to the coordinate, scale and direction of each feature point; wherein each image generates a target feature point set; after a target feature point set is generated, according to the feature point matching degree of each template image and the original image, extracting a plurality of previous images with the highest matching score by using SIFT and BoW algorithms; carrying out local feature matching by SIFT and AdaLAM algorithms, and selecting an optimal matching image from the plurality of images with the highest matching scores; and outputting a matching result. The image matching method based on feature detection provided by the invention is good in matching effect and can efficiently and quickly filter out the outer points.

Description

technical field [0001] The present invention relates to the technical field of image matching models and algorithms of computer vision, in particular to an image matching method, device, equipment and medium for feature detection. Background technique [0002] Image matching is a basic problem in computer vision. Accurate and efficient image matching algorithms provide a solid underlying foundation for solving other problems. Image matching methods based on SIFT features can be widely used in industries such as industrial inspection, indoor navigation, and security monitoring. Most of the methods based on SIFT features rely on the BoW model. BoW technology was originally applied to the document retrieval system, which is characterized by the need for a large number of words to generate codebooks, and one of the characteristics of SIFT feature extraction is the large number, even if the image contains only a few objects, it can also generate many SIFT features, Use the SIFT ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46G06F16/58
CPCG06F16/58G06V10/462G06F18/22
Inventor 周盈盈熊中敏
Owner SHANGHAI OCEAN UNIV
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