Showing 1-25 of 5,774 resultsfor "Index Terms":3D shape analysis
"Index Terms":3D shape analysis
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Applications of 3D shape analysis and retrieval
2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009)
Year: 2009 | Conference Paper |
Cited by: Papers (2)
With recent advances in 3D modeling and scanning technologies, large number of 3D models are created and stored in different databases. This has created an impetus to develop effective 3D shape analysis and 3D shape retrieval algorithms for these domains. This has made the field of 3D shape analysis and retrieval become an active area of research in the 3D community. In this paper we will survey f...Show More
3D Shape Descriptor by Principal Component Analysis Embedding for Non-rigid 3D Shape Retrieval in A Learning Framework
2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)
Year: 2021 | Conference Paper |
In the paper, we propose a 3D shape descriptor which can be applied to areas such as non-rigid 3D shape analysis and retrieval. We start with the calculation of the Wave Kernel Signature (WKS) and the scale-invariant Heat Kernel Signature (siHKS) of surface points belong to a 3D shape. Then we combine them together and obtain their principle components by PCA (principle component analysis), which ...Show More
Local 3D Shape Analysis for Facial Expression Recognition
Ahmed Maalej;Boulbaba Ben Amor;Mohamed Daoudi;Anuj Srivastava;Stefano Berretti
2010 20th International Conference on Pattern Recognition
Year: 2010 | Conference Paper |
Cited by: Papers (25)
We investigate the problem of facial expression recognition using 3D face data. Our approach is based on local shape analysis of several relevant regions of a given face scan. These regions or patches from facial surfaces are extracted and represented by sets of closed curves. A Riemannian framework is used to derive the shape analysis of the extracted patches. The applied framework permits to cal...Show More
Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors
This paper describes methods for recovering time-varying shape and motion of non-rigid 3D objects from uncalibrated 2D point tracks. For example, given a video recording of a talking person, we would like to estimate the 3D shape of the face at each instant, and learn a model of facial deformation. Time-varying shape is modeled as a rigid transformation combined with a non-rigid deformation. Recon...Show More
Medical Shape Pattern Analysis with MeshCNN
Sze-Nung Leung;Jason A. Dowling;Jurgen Fripp;Kai-Kai Shen;Shekhar S. Chandra
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
Year: 2023 | Conference Paper |
Accurate recognition and knowledge of anatomical shapes are important in both medical diagnosis and treatment planning. Improving techniques for 3D shape analysis would help gain clinical knowledge, be useful for efficient treatment delivery, and minimise side effects. In this paper, a new approach was proposed for shape variation analysis using MeshCNN. The classification network of the MeshCNN f...Show More
High dimensional statistical shape model for medical image analysis
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Year: 2008 | Conference Paper |
Cited by: Papers (5)
Statistical shape models have been widely used in biomedical image analysis, e.g. segmentation, registration, and shape classification. The traditional statistical shape models forced all shape parameters of each shape into one vector and put all vectors together to generate the point distribution model (PDM). The standard principal component analysis (PCA) was employed to project all shapes onto ...Show More
3-dimensional face pose and shape estimation based on relaxed model fitting optimization
2010 IEEE International Conference on Image Processing
Year: 2010 | Conference Paper |
Three-dimensional face pose and shape acquisition has become an important part of 3D face reconstruction, 3D face tracking, and other related applications. Many approaches have been presented to estimate the 3D face shape from 2D images. Some of them are parameterized model based approaches so it is somewhat convenient to handle model shape and pose via numerical parameters to align its vertices o...Show More
A shape analysis framework for small animal phenotyping with application to mice with a targeted disruption of Hoxd11
Joshua Cates;P. Thomas Fletcher;Zachary Warnock;Ross Whitaker
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Year: 2008 | Conference Paper |
Cited by: Papers (3)
This paper proposes the use of high-dimensional, point-based shape models for the study of phenotype, which offer some important advantages over traditional morphometries, including a more detailed representation of shape and a more systematic approach to shape statistics. Our approach allows for the analysis of shape at both global and local scales and can automatically extract lower- dimensional...Show More
A statistical shape model using 2D-principal component analysis from few medical samples and its evaluation
Tomoko Tateyama;Taishi Tanaka;Shinya Kohara;Amir Hossein Foruzan;Akira Furukawa;Yen-Wei Chen
The 2nd International Conference on Software Engineering and Data Mining
Year: 2010 | Conference Paper |
Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling method using 2D PCA. The 3D shape is represented as a matrix by spherical parameterization. The experiments showed that our proposed method can reconstruct statistical shape model with go...Show More
3D shape representations are essential when storing shape information for natural and manmade objects. To make use of shape information, many applications require shape-processing functionality, such as for search, annotation, classification, modeling, restoration, or collection exploration. This article discusses feature-based approaches and how they can support such functionality.Show More
Person-Specific Face Shape Estimation under Varying Head Pose from Single Snapshots
2010 20th International Conference on Pattern Recognition
Year: 2010 | Conference Paper |
Cited by: Papers (2)
This paper presents a new method for person-specific face shape estimation under varying head pose of a previously unseen person from a single image. We describe a featureless approach based on a deformable 3D model and a learned face subspace. The proposed approach is based on maximizing a likelihood measure associated with a learned face subspace, which is carried out by a stochastic and genetic...Show More
Foot shape classification using 3D scanning data
2012 Southeast Asian Network of Ergonomics Societies Conference (SEANES)
Year: 2012 | Conference Paper |
3D foot anthropometric data was collected and classified into several foot shapes. A 3D foot anthropometric database which contains 1835 male right foot scanning images was used. The subjects aged from 18 to 60 years old. A 3D foot scanner was used to collect 12 foot dimensions including foot length, ball of foot length, outside ball of foot length, foot breadth, heel breadth, ball circumference, ...Show More
Statistical Shape Analysis of the Corpus Callosum in Subtypes of Autism
2007 IEEE 7th International Symposium on BioInformatics and BioEngineering
Year: 2007 | Conference Paper |
Cited by: Papers (12)
Brain imaging studies of the corpus callosum (CC) in autism have yielded inconsistent results. In this paper, we explore the three-dimensional profile of CC abnormalities in autism. The CC is segmented from mid-sagittal MRI and four adjacent slices on both sides, using our newly developed semiautomatic method. A subsequent contour stitching is performed to create the 3D surface of the CC, and the ...Show More
This paper analyzes the robustness of recent 3D shape descriptors to SO(3) rotations, something that is fundamental to shape modeling. Specifically, we formulate the task of rotated 3D object instance detection. To do so, we consider a database of 3D indoor scenes, where objects occur in different orientations. We benchmark different methods for feature extraction and classification in the context...Show More
Reconstructing 3D Lung Shape from a Single 2D Image during the Deaeration Deformation Process using Model-based Data Augmentation
Shuqiong Wu;Megumi Nakao;Junko Tokuno;Toyofumi Chen-Yoshikawa;Tetsuya Matsuda
2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)
Year: 2019 | Conference Paper |
Cited by: Papers (9)
Three-dimensional (3D) shape reconstruction is particularly important for computer assisted medical systems, especially in the case of lung surgeries, where large deaeration deformation occurs. Recently, 3D reconstruction methods based on machine learning techniques have achieved considerable success in computer vision. However, it is difficult to apply these approaches to the medical field, becau...Show More
Facial morphology analysis for a genetic association study — A scheme of 3D face shape alignment
Daisuke Kitabayashi;Guifang Duan;Tomoko Tateyama;Ryosuke Kimura;Yen-Wei Chen
2011 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT)
Year: 2011 | Conference Paper |
Cited by: Papers (1)
Recently, analysis of facial morphology and its relationship to genes has received considerable attention. In this paper, we present a scheme of 3D shape alignment for the morphological study of human face. We employ the Cylindrical Polar transform to sample the original 3D shape data which was obtained using the 3D laser scanner. By mapping the sampled data to a 2D image, we can obtain the shape ...Show More
Shape and motion analysis of left ventricle dyssynchrony from real-time 3D echocardiography
Honghai Zhang;Ademola K. Abiose;Dwayne N. Campbell;Milan Sonka;James B. Martins;Andreas Wahle
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Year: 2010 | Conference Paper |
Cited by: Patents (2)
The diagnosis of left ventricular mechanical dyssynchrony (LVMD) and identifying cardiac resynchronization therapy (CRT) candidates are challenging problems due to the limitation of the currently applied regional volume-curve analysis. In this study, four-dimensional (4D, 3D+time) left ventricle (LV) regional shape models of 26 LVMD patients were constructed from pre- and/or post- CRT real-time 3D...Show More
Conformal mapping of nuclei in 3D tomographic cell images to assess shape heterogeneity
Vivek Nandakumar;Xing An;Yalin Wang;Roger Johnson;Deirdre Meldrum
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
Year: 2012 | Conference Paper |
Cited by: Papers (3)
Nuclear shape and its heterogeneity are diagnostically important criteria used by pathologists in cancer diagnosis. Pathology assessment is currently qualitative and is based on 2D brightfield microscopy images. We propose an imaging informatics framework to quantify nuclear pleomorphism by statistical characterization of 3D nuclear shape. We applied optical projection tomographic microscopy (OPTM...Show More
Robust MR Image Segmentation Using 3D Partitioned Active Shape Models
2006 9th International Conference on Control, Automation, Robotics and Vision
Year: 2006 | Conference Paper |
Cited by: Papers (2)
A 3D partitioned active shape model (PASM) is proposed in this paper to address the problems of 3D active shape models (ASM) brought by small training sets, which is usually the case in 3D applications. When numbers of training samples are limited, 3D ASMs tend to be restrictive, because the plausible area/allowable region spanned by relatively few eigenvectors cannot capture the full range of sha...Show More
Conformal Geometry and Its Applications on 3D Shape Matching, Recognition, and Stitching
Sen Wang;Yang Wang;Miao Jin;Xianfeng David Gu;Dimitris Samaras
Three-dimensional shape matching is a fundamental issue in computer vision with many applications such as shape registration, 3D object recognition, and classification. However, shape matching with noise, occlusion, and clutter is a challenging problem. In this paper, we analyze a family of quasi-conformal maps including harmonic maps, conformal maps, and least-squares conformal maps with regards ...Show More
3D shape analysis for point clouds using variational geometric
2015 11th International Conference on Natural Computation (ICNC)
Year: 2015 | Conference Paper |
I propose novel 3D shape analysis and modeling algorithm for active contours using variational scheme. The proposed algorithm utilizes an unknown surface of 3D shape by normal to 3D shape analysis and modeling. It would be used to get high quality reconstruction's results from many dimensions' data. I give it by utilizing continuous anisotropism weights would finish comparable ameliorate to surfac...Show More
Multi-view 3D shape and motion recovery on the spatio-temporal curve manifold
Proceedings of the Seventh IEEE International Conference on Computer Vision
Year: 1999 | Conference Paper |
In this paper we consider the problem of recovering the 3D motion and shape of an arbitrarily-moving, arbitrarily-shaped curve from multiple synchronized video streams acquired from distinct and known points in space. By studying the 3D motion and shape constraints provided by the input video streams, we show that (1) shape and motion recovery is equivalent to the problem of recovering the differe...Show More
Continuous procrustes analysis to learn 2D shape models from 3D objects
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops
Year: 2010 | Conference Paper |
Cited by: Papers (6)
Two dimensional shape models have been successfully applied to solve many problems in computer vision such as object tracking, recognition and segmentation. Typically, 2D shape models (e.g. Point Distribution Models, Active Shape Models) are learned from a discrete set of image landmarks once the rigid transformations are removed applying Procrustes Analysis (PA). However, the standard PA process ...Show More
Liver whole slide image analysis for 3D vessel reconstruction
Yanhui Liang;Fusheng Wang;Darren Treanor;Derek Magee;George Teodoro;Yangyang Zhu;Jun Kong
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
Year: 2015 | Conference Paper |
Cited by: Papers (12)
The emergence of digital pathology has enabled numerous quantitative analyses of histopathology structures. However, most pathology image analyses are limited to two-dimensional datasets, resulting in substantial information loss and incomplete interpretation. To address this, we have developed a complete framework for three-dimensional whole slide image analysis and demonstrated its efficacy on 3...Show More
3D Head Shape Analysis of Suspected Zika Infected Infants
Xiangyang Ju;Idelmo Rangel Garcia Júnior;Leonardo De Freitas Silva;Peter Mossey;Dhelal Al-Rudainy;Ashraf Ayoub;Adriana Marques De Mattos
2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
Year: 2018 | Conference Paper |
The babies infected from Zika before they are born are at risk for problems with brain development and microcephaly. 3D head images of 43 Zika cases and 43 controls were collected aiming to extract shape characteristics for diagnosis purposes. Principal component analysis (PCA) has been applied on the vaults and faces of the collected 3D images and the scores on the second principal components of ...Show More
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