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Multi-image stitching method

A multi-image and image technology, applied in the field of computer graphics, can solve the problem of multi-image splicing without a system, and achieve the effect of improving the splicing effect, improving the splicing efficiency, and reducing the amount of calculation.

Active Publication Date: 2015-10-07
ZHEJIANG UNIV
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  • Claims
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Problems solved by technology

[0007] Although some papers have proposed the use of distributed computing in the field of image processing, there is currently no system that has implemented multi-image stitching based on a distributed computing framework.

Method used

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Embodiment Construction

[0060] The present invention will be described in detail below in combination with specific implementations.

[0061] The multi-image mosaic method of the present embodiment is realized based on the distributed computing framework (the present embodiment is the Hadoop computing framework), and comprises the following steps when performing multi-image mosaic:

[0062] Step 1. Each node in the Hadoop computing framework takes each image file as an input slice without file segmentation; converts the image format in the Map stage to generate a JPEG image with the same resolution, and writes the result in the Reduce stage to the local file system.

[0063] In step 2, each node in the Hadoop computing framework takes the same-resolution JEPG format image obtained in step 1 as an input slice, and the Map stage solves the SIFT feature point set of the input slice; in the Reduce stage, the SIFT feature results are written into the specified file name .key file and save it in the local...

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Abstract

The present invention discloses a multi-image stitching method. The method comprises the following steps of: performing downsampling processing on each to-be-stitched image to obtain a corresponding downsampling image, and determining an overlapping relationship and a relative position relationship between the downsampling images; according to the overlapping relationship and the relative position relationship between the downsampling images, determining a feature point matching set between any two of the to-be-stitched images; and according to the feature point matching set between any two of the to-be-stitched images, performing calibration on a camera position of a current to-be-stitched image by means of a bundle adjustment method, then fitting to obtain an optimal orthogonal projection plane according to all the to-be-stitched images and corresponding calibration results, projecting each to-be-stitched image on the optimal orthogonal projection plane to obtain a corresponding projection result and performing fusion on the corresponding projection results. The multi-image stitching method disclosed by the present invention has the advantages of high stitching rate and high stitching quality.

Description

technical field [0001] The invention relates to the field of computer images, in particular to a multi-image splicing method. Background technique [0002] Image stitching technology is to seamlessly fuse multi-source images into a complete image with ultra-high resolution through various methods. There are already many solutions, and the early methods tend to focus on the processing of a single computer. [0003] Image stitching is mainly divided into two parts: image registration and image fusion. Image registration is the core part of image stitching. The main purpose is to accurately determine the overlapping position between images. The general methods of image registration are: region-based image registration and feature-based image registration. Due to the poor robustness of region-based image registration, the current mainstream image registration method is feature-based image registration. Image registration based on image features is more dependent on the select...

Claims

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Application Information

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IPC IPC(8): G06T3/40
CPCG06T3/4038G06T3/4053
Inventor 刘礼铭刁常宇邢卫鲁东明
Owner ZHEJIANG UNIV
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