Abstract: The present disclosure relates to a method for determining a pose of an object in a local coordinate system of a robotic machine, the method including: capturing at least one image of a first face of the object and at least one image of at least a portion of a second face of the object; generating a point cloud representation of at least part of the object using image data obtained from the captured images of the first and second faces; fitting a first plane to the first face of the object and fitting a second plane to the second face of the object using the point cloud representation; determining a pose of the first plane and a pose of the second plane; retrieving a shape model of at least the first face of the object; locating the shape model in the local coordinate system using at least in part the at least one image of the first face; and, determining the pose of the object in the local coordinate system. A vision system and robotic machine are also disclosed.

Abstract: The present disclosure relates to a method for determining a pose of an object in a local coordinate system of a robotic machine, the method including: capturing at least one image of a first face of the object and at least one image of at least a portion of a second face of the object; generating a point cloud representation of at least part of the object using image data obtained from the captured images of the first and second faces; fitting a first plane to the first face of the object and fitting a second plane to the second face of the object using the point cloud representation; determining a pose of the first plane and a pose of the second plane; retrieving a shape model of at least the first face of the object; locating the shape model in the local coordinate system using at least in part the at least one image of the first face; and, determining the pose of the object in the local coordinate system. A vision system and robotic machine are also disclosed.