Image splicing method based on projection geometry and SIFT characteristics

A technology of image stitching and projection geometry, applied in the field of image processing, can solve the problems of few features and inability to complete image stitching, and achieve the effect of improving the success rate and good effect

Inactive Publication Date: 2018-08-28
CENT SOUTH UNIV
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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that image mosaic cannot be completed because there are few features that can be extracted when the image features are not obvious, and to provide an image mosaic method based on projective geometry and SIFT feature matching point pairs for image mosaic

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  • Image splicing method based on projection geometry and SIFT characteristics
  • Image splicing method based on projection geometry and SIFT characteristics
  • Image splicing method based on projection geometry and SIFT characteristics

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[0013] The specific implementation of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the implementation shown and described in the accompanying drawings is only exemplary, intended to illustrate the principles and methods of the present invention, rather than limit the scope of the present invention.

[0014] Such as figure 1 As shown, the present invention proposes an image mosaic method based on projective geometry and SIFT feature matching point pairs. The specific implementation steps are: Step 1: The fixed camera position continuously shoots two images with overlapping regions, so that the overlapping regions occupy the image area 30% to 50% of the overlapping area and specify the position of the overlapping area.

[0015] Step 2: extract the feature points of the two images to be stitched, and perform feature point matching, and purify the matched feature points to eliminate erroneous feature matc...

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Abstract

The invention discloses an image splicing method based on projection geometry and SIFT characteristic matching point pairs. According to the method, firstly, two images with overlapping areas are captured, SIFT characteristic points are extracted from to-be-spliced images, characteristic point matching is carried out through the K-D tree search algorithm, the RANSAC algorithm is further utilized to carry out characteristic point purification to eliminate wrong matching point pairs, a transformation matrix is calculated if the number of characteristic matching point pairs after purification isgreater than 8, if the number of characteristic matching point pairs after the purification is less than 8, the corresponding number of projection matching point pairs are extracted according to the known overlapping areas of the two images to complete the 8 pairs of matching points, a transformation matrix is calculated, image registering is completed, image fusion is carried out through employing the multi-resolution analysis method for the images after registering, and lastly, the spliced image is outputted. The method is advantaged in that a problem of image registration failure due to thefewer pairs of characteristic matching points can be solved through image splicing, and the image splicing effect is excellent.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for mosaicing panoramic images. Background technique [0002] With the development of computer technology, panoramic image mosaic technology has been extensively researched and developed. In panoramic image stitching technology, image registration is the most critical step in image stitching, which directly affects the success or failure of image stitching. Image registration methods mainly include phase correlation-based, geometric region-based and feature-based image mosaic algorithms. The image mosaic algorithm based on phase correlation first performs Fourier transform on the input image sequence, and then uses the phase information in the cross-power spectrum after image transformation to calculate the relative displacement between images to perform image registration. The image stitching algorithm based on geometric region correlation perform...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T7/33
CPCG06T3/4038G06T7/33G06T2200/32
Inventor 王怀华樊晓平
Owner CENT SOUTH UNIV
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