The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 13, 2015
Filed:
Dec. 16, 2011
Thomas Martinetz, Lübeck, DE;
Kristian Ehlers, Lübeck, DE;
Fabian Timm, Lübeck, DE;
Erhardt Barth, Ovendorf, DE;
Sascha Klement, Lübeck, DE;
Thomas Martinetz, Lübeck, DE;
Kristian Ehlers, Lübeck, DE;
Fabian Timm, Lübeck, DE;
Erhardt Barth, Ovendorf, DE;
Sascha Klement, Lübeck, DE;
Universitat Zu Lubek, Lubeck, DE;
Abstract
The invention relates to a real time-capable analysis of a sequence of electronic images for estimating the pose of a movable object captured by means of the images. The invention further relates to implementing the invention in software and, in this connection, to a computer-readable medium that stores commands, the execution of which causes the method according to the invention to be carried out. The invention proceeds from a skeleton model, which is described by a small number of nodes in 3D space and permits a good data compression of the image information when the co-ordinates of the nodes describe at any time the position of predetermined parts of the moving object. The skeleton model simultaneously represents previous knowledge of the object, by defining e.g. node pairs and optionally also node triplets in the skeleton model that describe cohesive object parts or optionally object surfaces, which are contained in the measured 2½-D image information, i.e. are visible to the camera. The skeleton model is to be fitted quickly and accurately into the image information. The fitting is effected between two images of an image sequence by the continuous displacement of the nodes and the continuous updating of the skeleton model.