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A TECHNIQUE FOR ESTIMATING THE POSE OF SURFACE SHAPES USING TRIPOD OPERATORS

机译:用三点算子估计表面形状的一种技术

摘要

A software procedure, with associated hardware, for estimating the pose of an object from a range image containing the object. A range image is a two dimensional array of numbers which represent the distances from a reference point in the range imaging instrument to observed surface points in a scene. All six parameters of the pose of an object are estimated; three translational and three angular parameters. A new technique known as 'non-pose-distinctive placement removal' is combined with of tripod operators (TOs), a method for interpreting range images, and is comprised of two steps. The first is training the system on a new object so that it will later be able to estimate the pose of that object when seen again in some range image (502). The second is the actual pose estimation, where a TO is placed at a random location on a new range image containing the object of interest. Then the nearest neighbor in feature space, the nearpoint, is computed. If the distance to the nearpoint is less than some appropriate threshold (508), then the surface is recognized and pose estimation proceeds by computing the six pose parameters (512) of a central triangle of the new placement in the coordinate system of the range imaging instrument. Then the pose parameters associated with the nearpoint are retrieved. An estimate of the pose of the surface shape in the new image is recoverable using those two pose six-vectors; the pose of the central TO triangle in the new image and the retrieved pose of the central TO triangle in the training image are composed together to determine an estimate where the object actually is with respect to the location of its original model used in training.
机译:具有相关硬件的软件过程,用于从包含对象的范围图像中估计对象的姿势。距离图像是数字的二维阵列,代表从距离成像仪器中的参考点到场景中观察到的表面点的距离。估计物体姿态的所有六个参数;三个平移和三个角度参数。一种称为“非姿势区别性放置去除”的新技术与三脚架操作员(TO)结合在一起,这是一种解释距离图像的方法,包括两个步骤。第一种是在新物体上训练系统,以便以后在某个距离图像中再次看到该物体时,它将能够估计该物体的姿态(502)。第二个是实际姿势估计,其中将TO放置在包含感兴趣对象的新范围图像上的随机位置。然后计算特征空间中最近的邻居,即近点。如果到近点的距离小于某个适当的阈值(508),则识别表面并且通过计算距离成像的坐标系中新放置的中心三角形的六个姿势参数(512)来进行姿势估计。仪器。然后,检索与近点关联的姿势参数。使用这两个姿势六向量可以恢复新图像中表面形状的姿势估计值;新图像中中心TO三角形的姿态与训练图像中中心TO三角形的检索姿态被组合在一起,以确定相对于训练中使用的原始模型的位置,对象实际位于何处。

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