A Fast Initialization Method for Edge-based Registration Using an Inclination Constraint
A Fast Initialization Method for Edge-based Registration Using an Inclination Constraint
复制标题
一种使用倾斜约束的基于边缘配准的快速初始化方法
DOI：
10.1109/ismar.2007.4538854
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
Hiroyuki Yamamoto
中科院分区：
文献类型：
--
作者：
Daisuke Kotake;K. Satoh;Shinji Uchiyama;Hiroyuki Yamamoto
我们提出了一种使用倾斜传感器值和无对应线段的混合相机姿态估计方法。在该方法中，通过倾斜约束下的投票方法来假设相机位姿的可能方位角。然后，根据检测到的对方位角投肯定票的线段，计算每个可能的方位角的一些摄像机位置。最后，从多组相机位置和方位角中选择最一致的一个作为相机位姿。与许多其他跟踪方法不同，我们的方法不使用过去的信息，而是仅使用当前信息来估计相机姿势。此功能对于增强现实 (AR) 系统中的注册初始化测量非常有用。本文描述了该方法的细节，并通过将该方法实际用于 AR 应用的实验展示了其有效性。
We propose a hybrid camera pose estimation method using an inclination sensor value and correspondence-free line segments. In this method, possible azimuths of the camera pose are hypothesized by a voting method under an inclination constraint. Then some camera positions for each possible azimuth are calculated based on the detected line segments that affirmatively voted for the azimuth. Finally, the most consistent one is selected as the camera pose out of the multiple sets of the camera positions and azimuths. Unlike many other tracking methods, our method does not use past information but rather estimates the camera pose using only present information. This feature is useful for an initialization measure of registration in augmented reality (AR) systems. This paper describes the details of the method and shows its effectiveness with experiments in which the method is actually used in an AR application.