彩色点云匀色的Wallis算法

通过可见光相机与三维激光扫描仪之间的精确标定,可以生成具有颜色信息的点云,在文物建模、移动测图、地下空间调查等领域具有广泛应用。点云的色彩质量依赖可见光相机的成像质量,受硬件水平、光照条件、拍摄参数等诸多因素干扰,经常出现偏暗、过曝、不均匀等现象,然而目前缺乏点云色彩匀色方法的研究。因此,本文将Wallis匀色算法从二维拓展到三维,利用模板影像的颜色信息,改善三维点云的色彩效果。实验证明,三维Wallis匀色算法可以有效改善点云的波段比例、亮度与对比度。

Wallis Algorithm for Colored Point Cloud Dodging

Through the accurate calibration between the visible light camera and the 3D laser scanner,a point cloud with color information can be generated,which is widely used in the fields of cultural relics modeling and mobile mapping.The color quality of the point cloud depends on the imaging quality of the visible light camera.It is interfered by many factors such as hardware level,illumination conditions,shooting parameters,etc.,and often appears to be dark,overexposed,and uneven.However,there are few research on point cloud color dodging method now.Therefore,this paper extends the Wallis dodging algorithm from two-dimensional to three-dimensional,and uses the color information of the template image to improve the color effect of the three-dimensional point cloud.Experiments show that the three-dimensional Wallis dodging algorithm can effectively improve the brightness and hue of the point cloud.