角检测在彩色伪随机编码图像特征提取中的应用

Application of Corner Detection in Extracting Characteristic of Image Based on Multicolor Pseudorandom Code

为研究基于单幅二维图像不标定欧氏重构三维场景的理论,有效提取伪随机编码图像特征角点,介绍了一种角检测方法,该角检测方法是基于轮廓线曲率的测试.实验数据和重构结果验证了该检测方法的适用性和有效性.

In order to study the theory of uncalibrated 3D Euclidean reconstruction based on single image and effectively extract the characteristic corner of images based on pseudorandom color code,a corner detection technique which tests contour line curvature was introduced. The data and the results of reconstruction verify the feasibility and effectiveness of the detection measure.