3D (three-dimensional) visualization method for coverage range based on quick estimation of attitude of camera

A coverage and camera technology, which is applied in the field of rapid camera attitude estimation and coverage 3D visualization, can solve the problems of low precision, calibration objects cannot be placed on site, and traditional methods cannot be applied, so as to avoid coverage dead spots.
CN103400409AActive Publication Date: 2013-11-20HUAZHONG NORMAL UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
HUAZHONG NORMAL UNIV
Publication Date
2013-11-20

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Abstract

The invention provides a 3D (three-dimensional) visualization method for a coverage range based on the quick estimation of the attitude of a camera, which comprises the following steps: carrying out 3D scene modeling so as to obtain a 3D scene model, carrying out enhancement on the 3D scene model, and in the process of 3D scene modeling, restoring a depth image from each frame of a video; according to the 3D scene model and the installation position of the camera, registering the camera to the 3D scene model, obtaining camera parameters through estimation according to the attitude of the camera, and determining a projection mapping relation between the video and the 3D scene model; and carrying out displaying in the 3D scene model according to a depth shadow texture principle, interactively picking up a target in the 3D scene model, and according to the projection mapping target, calculating an imaging area of the target in the current camera parameter mode.
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Description

technical field

[0001] The invention relates to the technical fields of computer vision and augmented reality, in particular to a method for quickly estimating camera pose and 3D visualization of coverage. Background technique

[0002] With the continuous development of computer graphics and computer vision, it has become a reality to use computer technology to efficiently and realistically simulate the real world interactively. Augmented reality technology is more and more widely used in the real world, and its role is becoming more and more important. The increase of a large number of cameras not only brings massive video data, but also puts forward higher requirements for scientific and efficient resource management.

[0003] The existing camera pose estimation mostly adopts the method of camera calibration and feature tracking. Camera calibration is widely used in desktop cameras, robotics, and industrial control. However, in the security field based on the augmented ...

Claims

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