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Local registration-based image splicing method

An image mosaic and partial technology, which is applied in image data processing, graphics and image conversion, instruments, etc., can solve problems such as local registration of areas that cannot be found, and achieve the effect of expanding the range and high robustness

Inactive Publication Date: 2017-05-31
SHANGHAI UNIV
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Problems solved by technology

This method can handle some image mosaic problems in the case of large parallax, but when there are a large number of significant image structures in the input image, this method cannot find a suitable area for local registration, which is due to the due to the limitations of the random search algorithm

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Embodiment 1

[0047] The application environment of the embodiment of the present invention is as follows: see figure 2 , the scene of image acquisition is a commercial square, the input two images I 0 and image I 1 , due to the large occlusion at two different viewpoints when shooting, resulting in a large parallax in the picture.

[0048] see figure 1 , an image stitching method based on local registration, including the following steps:

[0049] Step 1: Feature point detection and matching: first perform feature point detection and extract the input image I 0 and I 1 feature points, and match the feature points to obtain N groups of matching points;

[0050] Step 2: Set from the input image I 0 and I 1 The number m of the matching point set on is 0;

[0051] Step 3: Image local registration: the current matching point set m is the local area, and the local area is registered to obtain the corresponding 3×3 homography mapping matrix H m ;

[0052] Step 4: Determine the current ...

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Abstract

The invention discloses a local registration-based image splicing method. The method comprises the steps of 1) performing feature point detection and matching; 2) setting a number m of a matching feature point pair set from input images I0 and I1 to be 0; 3) performing image local registration; 4) judging whether a registration error of a current local homography mapping matrix Hm is smaller than a registration threshold or is converged or not; 5) adjusting the matching point pair set; and 6) performing image synthesis. The method is an image splicing method aiming at a large-parallax scene and having higher accuracy; the local registration is performed by utilizing a parallax probability; an obtained splicing result is free from structural distortion, ghosting and deformation, and conforms to human eye habits; compared with an existing method, the method is higher in robustness; and the range of scenes processible for an image splicing technology is expanded.

Description

technical field [0001] The invention relates to an image mosaic method, in particular to an image mosaic method based on local registration. Background technique [0002] Image stitching algorithm is the earliest researched and widely used computer vision technology. Image stitching technology is widely used in the fields of video anti-shake, video summarization and panorama generation. For example, the anti-shake function in a video recorder is realized through a registration algorithm between adjacent frames. Today's 360-degree street view and satellite maps on Baidu Maps are also generated through image stitching technology. Image stitching technology mainly includes two parts: image registration and image fusion. Among them, image registration solves the problem of finding overlapping areas between images, which is the core and key of image mosaic technology, while image fusion technology solves the problem of final drawing of registered images, with the purpose of el...

Claims

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Application Information

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IPC IPC(8): G06T3/00G06T3/40
CPCG06T3/4038G06T3/14
Inventor 李凯汪洋鑫安平沈礼权邹雪妹
Owner SHANGHAI UNIV
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