Multi-camera layered calibration method based on one-dimensional object
A calibration method and multi-camera technology, applied in the field of computer vision, can solve problems such as the influence of calibration accuracy, heavy workload, and neglect of calibration point quality, so as to reduce calibration overhead, improve accuracy, and simplify the calibration process.
Active Publication Date: 2012-12-26
大视景科技(武汉)有限公司
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However, this calibration method only considers the common field of view between cameras, and ignores the quality of the calibration points within the field of view, which has a certain impact on the accuracy of the calibration. In addition, the layered calibration process requires two image acquisitions, respectively Checkerboard, and one-dimensional calibration object image, and then calculate
When the internal parameters of the camera change, it requires a lot of work
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[0026] The typical application environment of the present invention is as figure 1 shown in figure 1 In , the camera is represented by an arrow, and the direction of the arrow represents the orientation of the camera. In this environment, multiple cameras are used to obtain pictures of the human body in the scene from multiple angles, and the purpose of three-dimensional reconstruction is achieved through subsequent processing of the pictures. During this process, multiple cameras surrounding the scene in the environment need to be calibrated.
[0027] The present invention utilizes a one-dimensional object with consistent geometric features as a calibration object, such as figure 2 As shown, through one image acquisition, the internal and external parameters of the camera are calibrated layer by layer. The overall process of calibration is as follows Figure 4 As shown, firstly, through the synchronization mechanism, each camera used in the reconstruction is triggered to...
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The invention discloses a multi-camera layered calibration method based on a one-dimensional object. The method comprises the following steps: performing layered calibration on the inner and outer parameters of the cameras by taking multiple spherical markers on a straight line as calibration objects; during the calibration, controlling the synchronization of multiple cameras by utilizing a synchronization mechanism to obtain images of the calibration objects; extracting the central point information of the calibration objects from the obtained images; performing goodness evaluation on the identification quality of image marking points; constructing an optimal solving set by utilizing evaluation results, and calculating the inner parameters of the cameras; after obtaining the inner parameters of the multiple cameras, constructing a visual image according to the number of shared images of every two cameras and the goodness evaluation on each image; and calibrating the outer parameters of the cameras based on the visual image. Through the invention, the calibration precision is improved, the calibration flow is simplified and the calibration expenses are reduced.
Description
technical field [0001] The invention relates to a camera calibration method, in particular to a one-dimensional object-based multi-camera layered calibration method, which belongs to the technical field of computer vision. Background technique [0002] Computer vision technology constructs a virtual environment through related technologies of computer graphics, or compiles the real environment into the computer to generate a realistic virtual environment, so that users can get a feeling of being immersed in the virtual environment. The purpose of computer vision research is to enable computers to recognize three-dimensional spatial environmental information through two-dimensional images, to enable machines to perceive geometric information of objects in a three-dimensional environment, and to describe, store, recognize and understand. Computer vision has its own independent computing theory and algorithm, and the dominant theory is Marr theory. The ultimate research goal o...
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IPC IPC(8): G06T7/00
Inventor 周忠吴威龚如曦赵沁平
Owner 大视景科技(武汉)有限公司