منابع مشابه
Deformable Density Matching for 3D Non-rigid Registration of Shapes
There exists a large body of literature on shape matching and registration in medical image analysis. However, most of the previous work is focused on matching particular sets of features--point-sets, lines, curves and surfaces. In this work, we forsake specific geometric shape representations and instead seek probabilistic representations--specifically Gaussian mixture models--of shapes. We ev...
متن کاملReconstruction of non-rigid 3D shapes from stereo-motion
0167-8655/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.patrec.2011.02.010 ⇑ Corresponding author. Tel.: +34 972 418878; fax: E-mail addresses: [email protected] (X. Lladó), ales [email protected] (A. Oliver), [email protected] ac.uk (L. Agapito). Several non-rigid structure from motion methods have been proposed so far in order to recover both the motion and the non-rigid structure ...
متن کاملRobust Multi-scale Non-rigid Registration of 3D Ultrasound Images
In this paper, we embed the minimization scheme of an automatic 3D non-rigid registration method in a multi-scale framework. The initial model formulation was expressed as a robust multiresolution and multigrid minimization scheme. At the finest level of the multiresolution pyramid, we introduce a focusing strategy from coarse-to-fine scales which leads to an improvement of the accuracy in the ...
متن کاملClosed-Form Solution to Non-rigid 3D Surface Registration
We present a closed-form solution to the problem of recovering the 3D shape of a non-rigid inelastic surface from 3D-to-2D correspondences. This lets us detect and reconstruct such a surface by matching individual images against a reference configuration, which is in contrast to all existing approaches that require initial shape estimates and track deformations from image to image. We represent...
متن کاملLevel set motion assisted non-rigid 3D image registration
Medical imaging applications of rigid and non-rigid elastic deformable image registration are undergoing wide scale development. Our approach determines image deformation maps through a hierarchical process, from global to local scales. Vemuri (2000) reported a registration method, based on levelset evolution theory, to morph an image along the motion gradient until it deforms to the reference ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Graphics Forum
سال: 2015
ISSN: 0167-7055
DOI: 10.1111/cgf.12699