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3D Rotation Motion Detection and Rotation Axis Positioning Method Based on Feature Points

A technology of motion detection and three-dimensional rotation, applied in image analysis, instrumentation, computing, etc., can solve problems such as being difficult to get rid of the camera and unable to provide three-dimensional data, and achieve effective analysis and good editing and processing effects

Active Publication Date: 2019-09-17
苏州中科广视文化科技有限公司
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Problems solved by technology

[0002] Motion detection and tracking is a basic topic in the field of computer vision. The related theoretical research and application have been going on for decades. Most of the applications use video sequences to recognize images and track moving objects in two dimensions. 3D data cannot be provided when detailed motion path parameters are required, and it is difficult to get rid of the influence caused by camera distortion

Method used

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  • 3D Rotation Motion Detection and Rotation Axis Positioning Method Based on Feature Points
  • 3D Rotation Motion Detection and Rotation Axis Positioning Method Based on Feature Points
  • 3D Rotation Motion Detection and Rotation Axis Positioning Method Based on Feature Points

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Embodiment

[0049] Such as figure 1 As shown, a feature point-based three-dimensional rotation motion detection and rotation axis positioning method according to the present invention, the specific steps of the method are as follows:

[0050] Step 1: Use the SIFT algorithm to extract and match feature points on adjacent pictures in the image sequence;

[0051] (1): Use the scale-invariant feature transformation algorithm to extract feature points from all images one by one, which is divided into DoG scale space generation, feature point search, feature point precise positioning, edge response removal, feature point direction assignment, and feature descriptor generation Six parts, specifically:

[0052] (1.1): First, it is necessary to construct the Gaussian difference scale space of the image

[0053] The scale space model of the image is established here, that is, it is necessary to perform different degrees of Gaussian blur on the image to generate a Gaussian pyramid to observe the i...

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Abstract

The invention discloses a three-dimensional rotation and motion detecting and rotation axis positioning method based on feature points. The method is used to track the three-dimensional rotation of the objects in the image sequence photographed in equidistant spacing and calculate the rotation axis. The method comprises the following steps: 1) using the SIFI algorithm to extract and match the feature points of the adjacent images in the image sequence; 2) using the SFM method to reproduce the pose information of a camera and the three-dimensional feature point position information of the objects; 3) conducting motion track to the three-dimensional feature points and performing fitting calculations to the rotation axis. According to the invention, the method of the invention is well compatible with the image sequences photographed by cameras of different specifications. The method is capable of more effectively analyzing the image sequences so as to better edit and process the image sequences.

Description

technical field [0001] The present invention relates to the field of digital image processing and computer vision, and specifically relates to motion tracking using feature points in image sequences captured at equiangular intervals to detect three-dimensional rotational motion and locate the rotational axis. Background technique [0002] Motion detection and tracking is a basic topic in the field of computer vision. The related theoretical research and application have been going on for decades. Most of the applications use video sequences to recognize images and track moving objects in two dimensions. Three-dimensional data cannot be provided when detailed motion path parameters are required, and it is difficult to get rid of the influence caused by camera distortion. The three-dimensional rotation motion detection and rotation axis positioning based on feature points proposed by the present invention preliminarily solves this problem. After using the SIFT (scale invariant...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/55G06T7/33
Inventor 王兆其李兆歆夏岩钧
Owner 苏州中科广视文化科技有限公司
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