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Rapid image splicing method based on optimized three-dimensional reconstruction

A technology of image stitching and 3D reconstruction, which is applied in graphics and image conversion, image data processing, 3D modeling, etc., to achieve the effect of increasing calculation speed and simplifying cumbersome calculations

Active Publication Date: 2020-08-18
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

At the same time, the decision about the next view selection after the initial value is selected is also very important, and the selection error will bring a huge time cost

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  • Rapid image splicing method based on optimized three-dimensional reconstruction
  • Rapid image splicing method based on optimized three-dimensional reconstruction
  • Rapid image splicing method based on optimized three-dimensional reconstruction

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Embodiment Construction

[0048] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0049] Such as figure 1 A fast image mosaic method based on optimized 3D reconstruction is shown, including the following steps:

[0050] Step 1. Extract grayscale images of n input images. In this example, 60 grayscale images of drone aerial images of 1280 pixels by 1280 pixels are extracted.

[0051] Step 2. Use the fast robust feature algorithm (SURF) to detect the feature points of each image, and generate an image descriptor X, where X=(x 1 ,x 2 ..., x 64 ); The image descriptor is a 64-dimensional vector, and the generation steps are as follows:

[0052] Step 2.1, select the pixel point l(x,y,σ) and construct the Hessian matrix as follows:

[0053]

[0054] Where σ is the pixel scale, L xx (x,σ), L xy (x,σ), L yy (x,σ) is the two-dimensional convolution of the second-order partial derivative of the Gaussian function at point x...

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Abstract

The invention discloses a rapid image splicing method based on optimized three-dimensional reconstruction, and the method comprises the steps: constructing dense point clouds of a photographing regionthrough employing a motion recovery structure and a multi-view stereo technology, and achieving the splicing of an image through the dense point clouds; optimized feature descriptors are adopted in image feature point extraction to perform optimization adjustment, and when error accumulation is eliminated, an optimization strategy of how to select a next optimal view after initialization is completed is proposed, so that the accuracy of point cloud generation is ensured, and the possibility of failure of a bundle adjustment method is reduced.

Description

technical field [0001] The invention relates to the technical field of image three-dimensional reconstruction, and mainly relates to a fast image splicing method based on optimized three-dimensional reconstruction. Background technique [0002] 3D reconstruction technology is an important technology for fully automatic image stitching. Because of the characteristics of no manual intervention and no need for auxiliary reference images, scholars have proposed that image-based 3D reconstruction technology can be used to fully automatically reconstruct the shooting area. [0003] At present, the image-based 3D reconstruction technology mainly uses geometric projection and deep learning to reconstruct a single image, but this method is greatly affected by the geometric conditions and lighting conditions of the graphics in the image, and is not suitable for large outdoor scenes. Use; there are RGB-D-based depth cameras, such as Microsoft's Kinect, etc. [0004] Among these theor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T17/00
CPCG06T3/4038G06T17/00Y02T10/40
Inventor 张佳煜陈志陈锐郑博文岳文静
Owner NANJING UNIV OF POSTS & TELECOMM
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