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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27317

Title: PoseLab: A Levenberg-Marquardt Based Prototyping Environment for Camera Pose Estimation
Authors: Darcis, Michiel
Swinkels, Wout
Güzel, Aydin Emre
Claesen, Luc
Issue Date: 2018
Citation: Li, Wei; Li, Qingli; Wang, Lipo (Ed.). Proceedings 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics,p. 1-6
Status: In Press
Abstract: A pose identifies the 3D position and 3D rotation of an object with respect to a reference coordinate system. Cameras can be used to determine the pose of objects in a scene. Fiducial markers on a object make it easier to segment the object. For applications where either high-accuracy, high speed and/or very low latency are required, dedicated hardware architectures are needed as regular processors are not performant enough. The dedicated hardware needs to be designed such that the constraints are taken into account in order to meet the requirements. A software prototyping environment PoseLab is presented which can be used to evaluate the effects of various design trade-offs.
URI: http://hdl.handle.net/1942/27317
ISBN: 9781538676035
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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Proof of peer review - Acceptance Notification182.26 kBAdobe PDF
Peer-reviewed author version - Peer-reviewed version1.87 MBAdobe PDF

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