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Estimation of 3-D Pose with 2-D Vision Based on Shape Matching Method

机译:基于形状匹配法的2-D视觉3-D姿态估计

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摘要

Pose estimation is an important step in the grasping of workpieces. However, most previous works aim to use the 3D vision system to locate the 3D pose of the object. This paper develops a pose estimation of 3D object with 2D vision system. The proposed method includes two steps: (a) a hierarchy model of 2D views of the object is firsdy constructed off-line; (b) the pose of object is then estimated by measuring the similarity of the model and target image. The proposed method is inherently robust against noise and illumination changes, and also efficient in real applications.
机译:姿势估计是抓紧工件的重要步骤。但是,大多数先前的工作旨在使用3D视觉系统来定位对象的3D姿势。本文利用2D视觉系统开发了3D对象的姿态估计。所提出的方法包括两个步骤:(a)离线地快速构造对象的2D视图的层次模型; (b)然后通过测量模型和目标图像的相似性来估计物体的姿势。所提出的方法固有地对噪声和光照变化具有鲁棒性,并且在实际应用中也是有效的。

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