Iterative Estimation of Rigid-Body Transformations
نویسندگان
چکیده
منابع مشابه
Iterative Estimation of Rigid-Body Transformations Application to Robust Object Tracking and Iterative Closest Point
Closed-form solutions are traditionally used in computer vision for estimating rigid body transformations. Here we suggest an iterative solution for estimating rigid body transformations and prove its global convergence. We show that for a number of applications involving repeated estimations of rigid body transformations, an iterative scheme is preferable to a closed-form solution. We illustra...
متن کاملShort paper: Iterative Estimation of Rigid Body Transformations Application to robust object tracking and Iterative Closest Point
Closed-form solutions are traditionally used in computer vision for estimating rigid body transformations. Here we suggest an iterative solution for estimating rigid body transformations and prove its convergence. We show that for a number of applications involving repeated estimations of rigid body transformations, an iterative scheme is preferable to a closed-form solution. We illustrate this...
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Abstract: We present a novel yet simple 3D stereo vision tracking algorithm which computes the position and orientation of an object from the location of markers attached to the object. The novelty of this algorithm is that it does not assume that the markers are tracked synchronously. This provides a higher robustness to the noise in the data, missing points and outliers. The principle of the ...
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To cite this version: Bigot, Jérémie and Loubes, Jean-Michel and Vimond, Myriam Semiparametric estimation of shifts on compact Lie groups. (2008) In: 2nd MICCAI Workshop on Mathematical Foundations of Computational Anatomy, 6 September 2008 6 September 2008 (New York, United States). Open Archive Toulouse Archive Ouverte (OATAO) OATAO is an open access repository that collects the work of Toulo...
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An Iterative Estimation Algorithm (IEA) of 3D transformations between two objects is presented in this paper. Skeletons of the 3D objects are extracted using a fully parallel thinning technique, feature point pairs (land markers) are extracted from skeletons automatically with a heuristic rule, and a least squares method and an iterative approach are applied to estimate the 3D transformation ma...
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ژورنال
عنوان ژورنال: Journal of Mathematical Imaging and Vision
سال: 2011
ISSN: 0924-9907,1573-7683
DOI: 10.1007/s10851-011-0279-x