Voting-based pose estimation for 3D sensors

摘要

A pose of an object is estimated by first defining a set of pair features as pairs of geometric primitives, wherein the geometric primitives include oriented surface points, oriented boundary points, and boundary line segments. Model pair features are determined based on the set of pair features for a model of the object. Scene pair features are determined based on the set of pair features from data acquired by a 3D sensor, and then the model pair features are matched with the scene pair features to estimate the pose of the object.

主权项

1. A method for estimating a pose of an object, comprising the steps of: defining a set of pair features as pairs of geometric primitives defined in a 3D space invariant to the poses of the object, wherein the geometric primitives include oriented surface points, oriented boundary points, and boundary line segments; determining model pair features based on the set of pair features for a model of the object; determining scene pair features based on the set of pair features from data acquired by a 3D sensor; determining a descriptor from each pair feature, and matching the descriptors model pair features with the descriptors scene pair features; discretizing the descriptors for the pair features; storing the discretized descriptors of the model pair features; and performing the matching using a comparison algorithm, estimating candidate poses of the object based on voting via an intermediate coordinate transformation, wherein the steps are performed in a processor.