Two-dimensional image sequence based three-dimensional reconstruction method of target

A two-dimensional image, target object technology, applied in image analysis, image data processing, instruments, etc., can solve the problems of low reconstruction accuracy, large amount of calculation, and large number of reconstructed points, and achieve high matching accuracy, accurate description, The effect of efficient 3D reconstruction

Inactive Publication Date: 2011-05-25
HARBIN INST OF TECH
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Problems solved by technology

[0011] The present invention aims to solve the problems existing in the existing image-based three-dimensional reconstruction method that there are too many points to be reconstructed and the large amount of calculation leads to low reconstruction accuracy, and provides a three-dimensional reconstruction method of a target object based on a two-dimensional image sequence

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  • Two-dimensional image sequence based three-dimensional reconstruction method of target
  • Two-dimensional image sequence based three-dimensional reconstruction method of target
  • Two-dimensional image sequence based three-dimensional reconstruction method of target

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specific Embodiment approach 1

[0031] Specific implementation mode 1. Combination figure 1 Describe this specific embodiment, a kind of three-dimensional reconstruction method of the target object based on two-dimensional image sequence, it is realized by the following steps:

[0032] Step 1, using a camera to acquire a two-dimensional image sequence of the target object;

[0033] Step 2, calculate each image in the two-dimensional image sequence obtained in step 1 by the SIFT algorithm, and obtain the feature points of each image; match the feature points obtained by the image to obtain SIFT matching points; the SIFT algorithm A Gaussian-scale pyramid containing each image is generated during implementation;

[0034] Step 3. Calculate the geometric relationship between each image in the two-dimensional image sequence described in step 1 according to the SIFT matching points obtained in step 2. The geometric relationship includes a basic matrix that constrains the relationship between every two images and ...

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Abstract

The invention discloses a two-dimensional image sequence based three-dimensional reconstruction method of a target, and relates to the three-dimensional reconstruction method of the target, which solves the problem that in the traditional image-based three-dimensional reconstruction method, the reconstruction precision is low due to more points needing to be reconstructed and large calculation quantity. The three-dimensional reconstruction method comprises the following steps of: using a camera to obtain a two-dimensional image sequence of the target, calculating and matching each image through a scale invariant feature transform (SIFT) algorithm, and calculating the geometric relationship between images; carrying out the corner detection of each image in a Gaussian scale pyramid generated in the realizing process of the SIFT algorithm, and obtaining the multi-scale corner features of the images; taking the obtained SIFT matching point as a center, searching a corner corresponding to each image in a limited range of a restrained distance, and matching the corners obtained by each image to obtain the matched corner; and realizing the three-dimensional reconstruction of the target by carrying out the three-dimensional reconstruction of the matched corner according to a projection matrix of a camera. The two-dimensional image sequence based three-dimensional reconstruction method is applied to the three-dimensional reconstruction of the target.

Description

technical field [0001] The invention relates to a three-dimensional reconstruction method of a target object. Background technique [0002] With the development of computer technology and image processing technology, computer vision technology has been greatly developed. Target feature point matching and stereo reconstruction are the foundation and focus of computer vision technology. Image matching is the process of finding the same point or part between two or more images. Image matching has great application value in fields such as computer vision, pattern recognition, industrial inspection, military affairs, and medicine. [0003] Image matching is usually divided into grayscale-based image matching and feature-based image matching methods. As a kind of image matching, feature matching is different from the grayscale-based image matching method. It does not directly use grayscale information, but extracts the essential features of the image (commonly used matching fea...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 吴立刚李旭涛杨成胡赵鸿燕
Owner HARBIN INST OF TECH
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