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ORB (oriented brief) image feature registration method based on LK (Lucas-Kanade) optical flow constraint

An image feature, image technology, applied in image analysis, image data processing, instruments and other directions, can solve the problem of not being able to meet the real-time performance of engineering, and achieve the effect of improving matching accuracy

Inactive Publication Date: 2015-07-01
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology

However, it still cannot meet the real-time requirements of engineering

Method used

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  • ORB (oriented brief) image feature registration method based on LK (Lucas-Kanade) optical flow constraint
  • ORB (oriented brief) image feature registration method based on LK (Lucas-Kanade) optical flow constraint
  • ORB (oriented brief) image feature registration method based on LK (Lucas-Kanade) optical flow constraint

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Embodiment Construction

[0059] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0060] like figure 1 Shown, the present invention is concretely realized as follows:

[0061] (1) ORB feature operator

[0062] ORB feature point (Oriented FAST and Rotated BRIEF) is a local invariant feature. ORB is based on the improved FAST detection operator and the improved rBRIEF descriptor. The calculation speed of the FAST algorithm and the BRIEF algorithm is very fast, so ORB has an absolute advantage over SIFT and SURF in terms of calculation speed.

[0063] (11) Feature point detection

[0064] On the image, compare a certain point S with the gray value of its neighboring pixels, if there are N consecutive pixel points I on the circle K , the absolute value of k=1, 2,..., the gray value of N minus the gray value of point S is greater than P (P is the set threshold), then S is the required feature point.

[0065] ...

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Abstract

The invention relates to an ORB (oriented brief) image feature registration method based on LK (Lucas-Kanade) optical flow constraint. The method includes three phases; in the first phase, ORB feature matching, ORB feature points in an image are extracted and matched to obtain a homography matrix; in the second phase, LK optical-flow precision matching, local optimal points are searched for by means of multiple iterations by the LK sparse optical flow method and used as optimal matching points, subjected to precision matching; in the third phase, image interpolation registration, two images are subjected to precision matching using the renewed homography matrix by means of bilinear interpolation. The method has the advantages that images of different scenes or images acquired by different sensors are automatically matched by means of image processing, registration precision directly determines quality of following image fusion, the high precision matching is maintained, and an algorithm is enabled to meet the demand for timely processing is met.

Description

technical field [0001] The invention relates to an ORB image feature registration method based on LK (Lucas-Kanade optical flow method, which is a two-frame difference optical flow estimation algorithm) optical flow constraint, and belongs to the field of image registration, computer vision, and digital image processing. technical field. Background technique [0002] Image registration is an image processing technology that has developed rapidly in the past three decades. It is a process of matching and superimposing two or more images acquired at different times, different sensors (imaging devices) or under different conditions (weather, illumination, camera position and angle, etc.). It originated from the guidance military application of navigation system and weapon projection system, and is now widely used in many fields (see Barbara.Zitova.Image registration method: a survey[J].Image and Vision Compution,2003,21(11):977 -1000.).) In the field of remote sensing inform...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 凌强邓思斌刘嘉威李峰
Owner UNIV OF SCI & TECH OF CHINA
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