A Three-Point Model-Based Algorithm for Pose Estimation Export

@misc{citeulike:5778296, abstract = {In this paper, an iterative algorithm for the model-based P3P poseestimation problem based on the GaussNewton method is described. In this system, correspondences between three noncollinear object points on a rigid body and their subsequent image points under full perspective projection are used to estimate the pose of the object. Both real images and synthetic data have been used to verify our method with satisfactory results. Keywords - Pose estimation, perspective-npoint problem. 1 Introduction Model-based pose estimation attempts to recover the motion parameters from subsequent images of a rigid body which has known 3D structure. This problem is important in many fields such as photogrammetry, robot navigation and motion tracking. However, it is difficult to solve as depth information is usually lost during the nonlinear image formations and camera projections. Many solutions have been proposed and discussed in [7]. In particular, some researchers have considered the Perspective-...}, author = {Fung, Y. F. and Wong, K. H.}, citeulike-article-id = {5778296}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.3334}, keywords = {3dvision}, posted-at = {2009-09-12 16:36:40}, priority = {2}, title = {A Three-Point Model-Based Algorithm for Pose Estimation}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.3334} }

TY - ELEC ID - citeulike:5778296 L3 - citeulike-article-id:5778296 N2 - In this paper, an iterative algorithm for the model-based P3P poseestimation problem based on the GaussNewton method is described. In this system, correspondences between three noncollinear object points on a rigid body and their subsequent image points under full perspective projection are used to estimate the pose of the object. Both real images and synthetic data have been used to verify our method with satisfactory results. Keywords - Pose estimation, perspective-npoint problem. 1 Introduction Model-based pose estimation attempts to recover the motion parameters from subsequent images of a rigid body which has known 3D structure. This problem is important in many fields such as photogrammetry, robot navigation and motion tracking. However, it is difficult to solve as depth information is usually lost during the nonlinear image formations and camera projections. Many solutions have been proposed and discussed in [7]. In particular, some researchers have considered the Perspective-... TI - A Three-Point Model-Based Algorithm for Pose Estimation KW - 3dvision AU - Fung, YF AU - Wong, KH UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.53.3334 ER -