Showing 1-25 of 105 resultsfor "Index Terms":nonrigid deformation
"Index Terms":nonrigid deformation
- Sort
Get notified when new research is published matching your search criteria.
Sort By
Results
Estimating Nonrigid Shape Deformation Using Moments
2010 20th International Conference on Pattern Recognition
Year: 2010 | Conference Paper |
Cited by: Papers (1)
Image moments have been widely used for designing robust shape descriptors that are invariant to rigid transformations. In this work, we address the problem of estimating non-rigid deformation fields based on image moment variations. By using a single family of polynomials to both parameterize the deformation field and to define image moments, we can represent image moments variation as a system o...Show More
Stratification Approach for 3-D Euclidean Reconstruction of Nonrigid Objects From Uncalibrated Image Sequences
This paper addresses the problem of 3D reconstruction of nonrigid objects from uncalibrated image sequences. Under the assumption of affine camera and that the nonrigid object is composed of a rigid part and a deformation part, we propose a stratification approach to recover the structure of nonrigid objects by first reconstructing the structure in affine space and then upgrading it to the Euclide...Show More
Bidirectional Patch-based Correlations with Local Rigidity for Global Nonrigid Registration
Mingyuan Zhao;Xuexin Yu;Xinggang Hu;Fei Wang;Long Xu;Xiangyang Ji
IEEE Transactions on Circuits and Systems for Video Technology
Year: 2024 | Early Access Article |
Cited by: Papers (1)
The registration of time-varying 3D shapes with high degrees of freedom remains a challenging task. Most existing techniques attempt to address this issue by solving an optimization problem defined on deformation graph with as-rigid-as-possible smoothness prior, which usually struggle to capture large scale displacements. Motivated by the insight that a set of points tends to collectively undergo ...Show More
Learned Optical Flow-Based Defect Detection With Coarse-to-Fine Nonrigid Image Alignment
Lei Deng;Xiangze Meng;Xuedong Guo;Yifan Chen;Hongtian Shan;Shengkun Wu;Jiangrong Lin;Mingli Dong;Lianqing Zhu
Detecting defects in printed circuit boards (PCBs) is essential to guarantee their reliability and functionality in industrial applications. Recently, automatic optical inspection (AOI) systems equipped with machine vision technologies have been increasingly used to identify defects in PCBs. Nevertheless, images captured by AOI systems frequently exhibit nonrigid deformations due to movement and v...Show More
Learning nonrigid deformations for constrained point-based registration for image-guided MR-TRUS prostate intervention
John A. Onofrey;Lawrence H. Staib;Saradwata Sarkar;Rajesh Venkataraman;Xenophon Papademetris
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
Year: 2015 | Conference Paper |
Cited by: Papers (2)
This paper presents and validates a low-dimensional nonrigid registration method for fusing magnetic resonance imaging (MRI) and trans-rectal ultrasound (TRUS) in image-guided prostate biopsy. Prostate cancer is one of the most prevalent forms of cancer and the second leading cause of cancer-related death in men in the United States. Conventional clinical practice uses TRUS to guide prostate biops...Show More
Speckle Tracking in Intracardiac Echocardiography for the Assessment of Myocardial Deformation
Intracardiac echocardiography (ICE) has proven to be useful for online anatomical imaging during catheterization. Our objective was to develop a speckle tracking method for myocardial motion estimation from ICE image sequences in order to provide a mean for regional functional imaging. Our approach was to solve two problems in motion estimation from 2-D ICE image sequences: nonrigid myocardial def...Show More
A Multihierarchy Flow Field Prediction Network for Multimodal Remote Sensing Image Registration
Multimodal remote sensing image registration aims to achieve alignment between different modal image pairs. This effectively enhances the subsequent effects of multisource data fusion, object detection and recognition, and provides support for geographic spatial analysis and applications. Most existing approaches for multimodal remote sensing image registration are targeted at registering rigid tr...Show More
Fast Adaptive Coarse-to-Fine PatchMatch-Based Defect Detection on Nonflat Prints
Chenbo Shi;Baodun Jia;Chun Zhang;Xiangteng Zang;Junsheng Zhang;Xin Jiang;Changsheng Zhu
Residual map-based defect detection methods have been widely concerned in the field of prints, because of their superiority in detecting defects of arbitrary shapes and extreme aspect ratios by taking advantage of pixel-level comparison, especially in detecting the tiny defects. However, residual map-based methods require extremely high structural similarity between images, so it is important to e...Show More
Nonrigid Image Deformation Using Moving Regularized Least Squares
IEEE Signal Processing Letters
Cited by: Papers (23)
This letter presents an image deformation method based on Moving Regularized Least Squares optimization. The user controls the deformation by simply choosing a set of point handles in the input image, and also the target positions that the source point handles should be deformed to. The deformation function in our method is nonrigid and specified in a functional space, more specifically a reproduc...Show More
Fast free-form registration based on Kullback-Leibler distance for multimodal medical image
Nemir Ahmed Al-Azzawi;Harsa Amylia Mat Sakim;Wan Ahmed K. Wan Abdullah
2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA)
Year: 2010 | Conference Paper |
Cited by: Papers (2)
Multimodal image registration is a great challenge in medical imaging which requires to aligning anatomically identical structures. Their appearance in images acquired with different multimodality images may be very different. In order to realize fast, precise and robust image registration, we proposed a new multimodal medical registration method, which is based on free-form deformation (FFD) and ...Show More
MRLS-TPS-Based Nonrigid Image/Surface Deformation under Manifold Regularization Constraint
2020 5th International Conference on Control, Robotics and Cybernetics (CRC)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
This paper solves the problem of nonrigid deformation based on labeled and unlabeled feature points between two images or surfaces. The principle is to obtain the labeled deformation control point pairs on the correspondence images and the unlabeled feature control points in the source image, and estimate the deformation function between the deformation control point pairs for each pixel or voxel....Show More
Automatic correction control program method realization of the CNC machine tool under industrial conditions
2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
Year: 2017 | Conference Paper |
This article is devoted to investigation of the effectiveness of a method for automatic correction of the control program (ACCP) in practice to compensate for the elastic deformations occurring in turning nonrigid shafts. The relevance of the research is justified by a wide prevalence of this tool type in mechanical engineering, as well as the by the peculiarities of their turning at the modern CN...Show More
Collapsed-cone based deformation field regularization for nonrigid image registration
Bo Zhou;Cedric X. Yu;Andrew Godley;X. Allen Li;Xiaobo Sharon Hu;Danny Z. Chen
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Year: 2011 | Conference Paper |
Incorporating biomedical information into nonrigid image registration is an important approach to improve the registration quality and provide realistic results. However, previous tissue-dependent deformation field filtering incur a relatively high computation cost in order to obtain results of improved quality. In this paper, we propose a collapsed-cone based adaptive filtering method to reduce t...Show More
Nonrigid-Deformation Recovery for 3D Face Recognition Using Multiscale Registration
Nonrigid deformation is a fundamental feature in face recognition. The proposed method extracts nonrigid deformation by finding the mapping between two shapes. To improve registration accuracy, it integrates geometric shape decomposition and nonrigid point-set registration. On the basis of manifold harmonics, the method first decomposes shapes into low-frequency and high-frequency parts. Then, it ...Show More
Surface Deformation Models for Nonrigid 3D Shape Recovery
Three-dimensional detection and shape recovery of a nonrigid surface from video sequences require deformation models to effectively take advantage of potentially noisy image data. Here, we introduce an approach to creating such models for deformable 3D surfaces. We exploit the fact that the shape of an inextensible triangulated mesh can be parameterized in terms of a small subset of the angles bet...Show More
Direct TPS-based 3D non-rigid motion estimation on 3D colored point cloud in eye-in-hand configuration
Lénaïc Cuau;João Cavalcanti Santos;Philippe Poignet;Nabil Zemiti
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
In this paper, a method for 3D non-rigid motion estimation of a surface using an RGB-D camera in eye-in-hand configuration is presented. The eye-in-hand configuration eliminates errors typically associated with camera-end-effector calibration, and is thus desirable for task on moving surfaces such as bioprinting. However, its implementation is challenging since camera and surface of interest are m...Show More
VoxelMorph-Based Deep Learning Motion Correction for Ultrasound Localization Microscopy of Spinal Cord
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Year: 2024 | Volume: 71, Issue: 12: Breaking the Resolution Barrier in Ultrasound | Journal Article |
Cited by: Papers (7)
Accurate assessment of spinal cord vasculature is important for the urgent diagnosis of injury and subsequent treatment. Ultrasound localization microscopy (ULM) offers super-resolution imaging of microvasculature by localizing and tracking individual microbubbles (MBs) across multiple frames. However, a long data acquisition often involves significant motion artifacts caused by breathing and hear...Show More
VoxelMorph-Based Deep Learning Motion Correction for Ultrasound Localization Microscopy of Spinal Cord
Year: 2024 | Volume: 71, Issue: 12: Breaking the Resolution Barrier in Ultrasound | Journal Article |
DRT: Deformable Region-Based Transformer for Nonrigid Medical Image Registration With a Constraint of Orientation
Nonrigid medical image registration is a key technology for clinical disease diagnosis by integrating the vital information taken from input images acquired using multiple imaging sensors. Recently, transformer networks have attracted attention in image registration, but splitting images into patches remains a problem. Although there are usually multiple structural regions with different sizes and...Show More
Local Contractive Registration With Biomechanical Model: Assessing Microwave Ablation After Compensation for Tissue Shrinkage
Dingkun Liu;Danni Ai;Tianyu Fu;Yuanjin Gao;Jingfan Fan;Hong Song;Deqiang Xiao;Ping Liang;Jian Yang
Microwave ablation (MWA) is a minimally invasive procedure for the treatment of liver tumor. Accumulating clinical evidence has considered the minimal ablative margin (MAM) as a significant predictor of local tumor progression (LTP). In clinical practice, MAM assessment is typically carried out through image registration of pre- and post-MWA images. However, this process faces two main challenges:...Show More
Spectral Graph Wavelet based Nonrigid Image Registration
2018 25th IEEE International Conference on Image Processing (ICIP)
Year: 2018 | Conference Paper |
Cited by: Papers (7)
We propose a nonrigid registration method whose motion estimation is cast into a feature matching problem under the Log-Demons framework using Graph Wavelets. We investigate the Spectral Graph Wavelets (SGWs) to capture the shape features of the images. The SGWs are more adapted to learn the spatial and geometric organization of data with complex structures than the classical wavelets. Our experim...Show More
Fast nonrigid image registration using statistical deformation models learned from richly-annotated data
2013 IEEE 10th International Symposium on Biomedical Imaging
Year: 2013 | Conference Paper |
Cited by: Papers (4)
Nonrigid image registrations require a large number of degrees of freedom (DoFs) to capture intersubject anatomical variations. With such high DoFs and lack of anatomical correspondences, algorithms may not converge to the globally optimal solution. In this work, we propose a fast, two-step nonrigid registration procedure with low DoFs to accurately register brain images. Our method makes use of a...Show More
Animatable 3D Model Generation from 2D Monocular Visual Data
2018 25th IEEE International Conference on Image Processing (ICIP)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
In this paper, we present an approach for creating animatable 3D models from temporal monocular image acquisitions of non-rigid objects. During deformation, the object of interest is captured with only a single camera under full perspective projection. The aim of the presented framework is to obtain a shape deformation model in terms of joints and skinning weights that can finally be used for anim...Show More
A Fast 2D Shape Recovery Approach by Fusing Features and Appearance
In this paper, we present a fusion approach to solve the nonrigid shape recovery problem, which takes advantage of both the appearance information and the local features. We have two major contributions. First, we propose a novel progressive finite Newton optimization scheme for the feature-based nonrigid surface detection problem, which is reduced to only solving a set of linear equations. The ke...Show More
Region Covariance for Deformation Measurement of Non-rigid Biological Tissues from MR Images
2015 8th International Symposium on Computational Intelligence and Design (ISCID)
Year: 2015 | Conference Paper |
In this paper, we propose an integrated method SRC (SIFT and Region Covariance) for feature point matching in MR images of nonlinear and nonuniform deformation of nonrigid tissues. First, from the template and deformed images, the DoG detector and SIFT descriptor are used to extract and describe the feature points. Then use the covariance of neighborhood feature statistics computed inside a region...Show More
Shape and nonrigid motion estimation through physics-based synthesis
A physics-based framework for 3-D shape and nonrigid motion estimation for real-time computer vision systems is presented. The framework features dynamic models that incorporate the mechanical principles of rigid and nonrigid bodies into conventional geometric primitives. Through the efficient numerical simulation of Lagrange equations of motion, the models can synthesize physically correct behavi...Show More
IEEE Account
Purchase Details
Profile Information
Need Help?
- US & Canada: +1 800 678 4333
- Worldwide: +1 732 981 0060
- Contact & Support
- About IEEE Xplore
- Contact Us
- Help
- Accessibility
- Terms of Use
- Nondiscrimination Policy
- Sitemap
- Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.