二维椭圆与三维圆的匹配及其在车辆姿态估计中的应用
Matching 2-D Ellipses to 3-D Circles with Application to Vehicle Pose Estimation
摘要：
从单个二维的图像中找到场景的全部或部分的三维表示是一项具有挑战性的任务。在本文中，我们提出了一种方法，用于识别的姿态和位置的物体与圆形突起的三维从一个单一的图像和三维表示或模型的对象的兴趣。要做到这一点，我们提出了一种新的技术，利用对象之间的强度差异和几何技术匹配的椭圆在2D中的一个圆在3D中的椭圆形快速，可靠地识别椭圆及其属性的方法。我们将这些技术应用于从单个图像确定车辆，特别是汽车的姿态和位置的具体问题。我们在人工生成的汽车图像上实现了出色的姿态恢复性能，并在真实车辆图像上显示出良好的效果。我们还利用椭圆检测方法从图像中识别出汽车车轮，具有很高的匹配成功率。
英文摘要：
Finding the three-dimensional representation of all or a part of a scene from a single two dimensional image is a challenging task. In this paper we propose a method for identifying the pose and location of objects with circular protrusions in three dimensions from a single image and a 3d representation or model of the object of interest. To do this, we present a method for identifying ellipses and their properties quickly and reliably with a novel technique that exploits intensity differences between objects and a geometric technique for matching an ellipse in 2d to a circle in 3d. We apply these techniques to the specific problem of determining the pose and location of vehicles, particularly cars, from a single image. We have achieved excellent pose recovery performance on artificially generated car images and show promising results on real vehicle images. We also make use of the ellipse detection method to identify car wheels from images, with a very high successful match rate.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
