Results 261 to 270 of about 843,251 (305)

Optical Signature of Moiré Superlattices Formed by Twisted SrTiO3 Membranes

Advanced Functional Materials, EarlyView.
We discover optical signatures from bonded interfaces in twisted SrTiO3 moiré superlattices, including low‐frequency Raman vibrational modes and strong second‐harmonic generation, consistent with strong interlayer coupling inferred from cross‐sectional electron microscopy and ab initio calculations. ABSTRACT Moiré superlattices formed at the interfaces
T. A. M. Ragib Shahriar, Fumikazu Murakami, Xing He, Konnor Koons, Xinyan Li, Bumseop Kim, Shihan Qin, Varun Harbola, Jochen Mannhart, Yimo Han, Ruijuan Xu, Shengxi Huang, Andrew M. Rappe, Hanyu Zhu   +13 more
wiley   +1 more source

Parametric Skeletons with Reduced Soft‐Tissue Deformations

Computer Graphics Forum, 2021
AbstractWe present a method to augment parametric skeletal models with subspace soft‐tissue deformations. We combine the benefits of data‐driven skeletal models, i.e. accurate replication of contact‐free static deformations, with the benefits of pure physics‐based models, i.e.
Javier Tapia, Cristian Romero, Jesús Pérez 0003, Miguel A. Otaduy   +3 more
openaire   +2 more sources

Parametrically deformable contour models

Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003
Segmentation using boundary finding is enhanced both by considering the boundary as a whole and by using model-based shape information. Flexible constraints, in the form of a probabilistic deformable model, are applied to the problem of segmenting natural objects whose diversity and irregularity of shape makes them poorly represented in terms of fixed ...
Lawrence H. Staib, James S. Duncan
openaire   +2 more sources

Boundary finding with parametrically deformable models

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992
Segmentation using boundary finding is enhanced both by considering the boundary as a whole and by using model-based global shape information. The authors apply flexible constraints, in the form of a probabilistic deformable model, to the problem of segmenting natural 2-D objects whose diversity and irregularity of shape make them poorly represented in
Lawrence H. Staib, James S. Duncan
openaire   +2 more sources

Parametric modeling and linear estimation of elastic deformations

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
We present a novel method to model and estimate elastic geometric deformations of an observed object, whether they are caused by the object's own dynamic behavior, or by the dynamic behavior of the imaging device, or both. A procedure for estimating the space of possible deformations the object may undergo based only on a set of observations is derived.
Nadav Geva, Rami R. Hagege, Joseph M. Francos   +2 more
openaire   +2 more sources

Adaptive parametrically deformable contours

1997
In this paper, we introduce an unsupervised contour estimation strategy based on parametrically deformable models. The problem is formulated in a (statistical) parameter estimation framework with the parameters of both the contour the and observation model (the likelihood function) being considered unknown.
Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain 0001   +2 more
openaire   +1 more source

Fast intersection checking for parametric deformable models

SPIE Proceedings, 2005
Parametric active deformable models for image-based segmentation offer a distinct advantage over level sets: speed. This paper presents an extension to active deformable models that makes real-time volume segmentation possible on mid-range off-the-shelf hardware and without the use of specialized graphics hardware. The proposed method uses region-based
Douglas P. Perrin, Andrew M. Ladd, Lydia E. Kavraki, Robert D. Howe, Jeremy W. Cannon   +4 more
openaire   +1 more source

Parametric Deformable Block Matching for Ultrasound Imaging

2007 IEEE International Conference on Image Processing, 2007
This paper investigates motion tracking for ultrasound imaging. The proposed method is adapted to ultrasonic images and uses a bilinear motion model for controlling the local mesh deformation. We use an iterative multi-scale approach which is shown to considerably decrease the estimated motion error when we pass from 1 to 2 iterations.
Adrian Basarab, Walid Aoudi, Hervé Liebgott, Didier Vray, Philippe Delachartre   +4 more
openaire   +1 more source

A 3D Laplacian-driven parametric deformable model

2011 International Conference on Computer Vision, 2011
3D parametric deformable models have been used to extract volumetric object boundaries and they generate smooth boundary surfaces as results. However, in some segmentation cases, such as cerebral cortex with complex folds and creases, and human lung with high curvature boundary, parametric deformable models often suffer from over-smoothing or decreased
Tian Shen, Xiaolei Huang 0001, Hongsheng Li 0001, Edward Kim, Shaoting Zhang 0001, Junzhou Huang   +5 more
openaire   +1 more source