基于双目视觉的三维重建中特征点提取及匹配算法的研究

三维重建是计算机视觉技术的主要内容之一。基于双目视觉的二维图像特征点的提取及特征点的匹配是三维重建技术的核心。通过以双目立体视觉理论为基础,提取立体图像的Harris角点作为特征点,经过基于小波变换的子线段匹配方法,较好地的解决了匹配精度与匹配速度之间的平衡问题。采用该方法对水泥冷却机内熟料的高度进行了测量,实现了熟料的三维重建。实验表明,该方法可提高图像匹配的速度和精度,能够较精确地对物体实现三维重建。

Characteristic point extracts and the match algorithm based on the binocular vision in three dimensional reconstruction

One of the main components of the computer vision is 3D reconstruction.Extracts and the match based on two-dimensional picture characteristic point is the 3D reconstruction technology core.Taking binocular stereoscopic vision theory as a foundation,through extracts picture characteristic point,based on the wavelet transformation sub-line segment match method.The points between the two endpoints of the sub-line segment are matched quickly using acceleration way.This method proposes a good solution for balance problem between match precision and match speed.The thickness of cement clinker in the cooler is measured using this method.The experiment shows this method can enhance the picture match the speed and the precision,can be more precise to the object implementation three dimensional reconstruction.