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MODEL-BASED POSE ESTIMATION USING A NON-PERSPECTIVE CAMERA

机译:基于非透视相机的基于模型的姿势估计

摘要

This invention provides a system and method for determining correspondence between camera assemblies in a 3D vision system so as to acquire contemporaneous images of a runtime object and determine the pose of the object, and in which at least one of the camera assemblies includes a non-perspective lens. The searched 2D object features of the acquired non-perspective image can be combined with the searched 2D object features in images of other camera assemblies, based on their trained object features, to generate a set of 3D image features and thereby determine a 3D pose. Also provided is a system and method for training and performing runtime 3D pose determination of an object using a plurality of camera assemblies in a 3D vision system. The cameras are arranged at different orientations with respect to a scene, so as to acquire contemporaneous images of an object, both at training and runtime.
机译:本发明提供了一种用于确定3D视觉系统中的摄像头组件之间的对应关系的系统和方法,以获取运行时对象的同期图像并确定对象的姿态,并且其中至少一个摄像头组件包括非透视镜。所获取的非透视图像的搜索到的2D对象特征可以与其他相机组件的图像中搜索到的2D对象特征相结合,基于它们的训练对象特征,以生成一组3D图像特征,从而确定3D姿势。还提供了一种用于使用3D视觉系统中的多个相机组件来训练和执行对象的运行时3D姿势确定的系统和方法。照相机相对于场景以不同的方向布置,以便在训练和运行时都获取对象的同时图像。

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