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Applying Distance Histogram to retrieve 3D cardiac medical models
2013
AMIA Annual Symposium Proceedings
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Our aim is to apply a shape descriptor to retrieve three-dimensional cardiac models, obtained from a set of 2D slices, which were segmented and reconstructed from MRI images using their geometry information ...
Preliminary results show that the shape deformation in 3D models can be a good indicator to detect Congestive Heart Failure, a very common heart disease. ...
Methodology
The Distance Histogram The Distance Histogram Descriptor [20] was chosen because it considers 3D model surface and geometry to compute the characteristics of a 3D model descriptor. ...
pmid:24551326
pmcid:PMC3900133
fatcat:wk7o6jwtazej3kbaodevjl2no4
3D-A-Nets: 3D Deep Dense Descriptor for Volumetric Shapes with Adversarial Networks
[article]
2017
arXiv
pre-print
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In this paper, powered with a novel design of adversarial networks (3D-A-Nets), we have developed a novel 3D deep dense shape descriptor (3D-DDSD) to address the challenging issues of efficient and effective ...
Recently researchers have been shifting their focus towards learned 3D shape descriptors from hand-craft ones to better address challenging issues of the deformation and structural variation inherently ...
tilayer dense representation (MDR) to extract concise but geometrically informative shape description and a novel design of adversarial networks that jointly train a set of convolution neural network ( ...
arXiv:1711.10108v1
fatcat:7kctixmsuffq5avgdrfeyw6sr4
False Positive Reduction in Lung GGO Nodule Detection with 3D Volume Shape Descriptor
2007
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
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This paper proposes a learning based method to reduce the number of false positives given by CG based on a new general 3D volume shape descriptor. ...
The 3D volume shape descriptor is constructed by concatenating spatial histograms of gradient orientations, which is robust to large variabilities in intensity levels, shapes, and appearances. ...
In this paper, we employ SVM classifier trained on a new general 3D shape descriptors based on limited assumptions that the shapes of the GGO nodules, i.e. the spatial distributions of gradient orientations ...
doi:10.1109/icassp.2007.366710
dblp:conf/icassp/YangPW07
fatcat:wdvq6rmo2jf27g7bazajlqodim
A New Partial 3D Object Indexing and Retrieval Approach Combining 2D slices and Apriori Algorithm
2020
Scientific Visualization
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The proposed partial 3D object indexing and retrieval method is applicable on both complete and incomplete 3D objects, which is based on a similarity measuring between 2D slices of 3D objects. ...
The hypothesis in this context is that similar 3D objects will be composed of similar 2D slices. ...
[5] introduced a new way to train an artificial neural network (ANN) with a histogram of characteristics (Shape index, dihedral angle, and shape diameter function), which are extracted directly from ...
doi:10.26583/sv.12.2.09
fatcat:4ivaeoi6aneebklayyyrqcn52y
Multi Voxel Descriptor for 3D Texture Retrieval
2016
Emitter: International Journal of Engineering Technology
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In this paper, we present a new feature descriptors which exploit voxels for 3D textured retrieval system when models vary either by geometric shape or texture or both. ...
This purposes to make all the 3D models have the same dimensions. Through this voxels, we can capture information from a number of ways. ...
In this paper, we propose a new and effective 3D texture retrieval system which focus exploit voxels and generate some histogram such as biner voxel histogram, color voxel histogram, distance spectral ...
doi:10.24003/emitter.v4i1.110
fatcat:wwsl6ip3sbhx5odc75qfia6n3a
A Novel Partial 3D Object Retrieval Method Using Adaptive Slices Clustering
2019
International Journal of Intelligent Engineering and Systems
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Then, we characterize each object by a set of 2D slices corresponding to its three principal axes, transforming the shape-matching problem between objects into similarity measuring between their slices ...
The similarity measuring between 3D objects can be reduced to a distance between their descriptors. ...
[10] proposed Shape Spectrum Descriptor (SSD); the proposed descriptor computes a histogram of shape index over the 3D object. ...
doi:10.22266/ijies2019.0228.25
fatcat:ofvjpt44znhf5jxiletpga4vxu
A classifier based approach for the detection of potential threats in CT based Baggage Screening
2010
2010 IEEE International Conference on Image Processing
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Index Terms-Aviation security, 3D medical image segmentation, 3D Zernike descriptors, histogram of shape index, support vector machine. ...
In this paper we present a research work on developing a system for automatic detection of potential threat items in cluttered 3D CT imagery originating from UBPS systems by combining 3D medical image ...
In contrast to 3D Zernike descriptors, the shape index is derived from a surface mesh model [8] . ...
doi:10.1109/icip.2010.5653676
dblp:conf/icip/MegherbiFB10
fatcat:pdkh2yyf3za3ncmfppnkrb6txu
Sketch-based 3D Model Retrieval using Keyshapes for Global and Local Representation
[article]
2012
Eurographics Workshop on 3D Object Retrieval, EG 3DOR
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The global descriptors as well as the local descriptors rely on a set of keyshapes precomputed from 2D representations of 3D models and from the query sketch as well. ...
Our results show a significant increase in precision for many classes of 3D models. ...
HKO-KASD Approach A 3D model is transformed into a set of projections from different viewpoints. ...
doi:10.2312/3dor/3dor12/047-050
fatcat:mo5jm7uzi5ez7afghunntmvdkq
Image-Guided Analysis of Shoulder Pathologies: Modelling the 3D Deformation of the Subacromial Space during Arm Flexion and Abduction
[chapter]
2004
Lecture Notes in Computer Science
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The 3D reconstruction technique is based on morphological morphing between adjacent slices and on contour-based extrapolation of extreme slices. ...
Model validation is a rather challenging task, since no direct access is possible to in vivo human bony structures of the shoulder complex. ...
Acknowledgements This research was supported by a grant from Fonds de la Recherché en Santé-Québec. Innovmetric Software Inc. has kindly provided one license for Polyworks. ...
doi:10.1007/978-3-540-25968-8_22
fatcat:h6ogtds6czb75l2xl3rxyjsn5y
Surface feature detection and description with applications to mesh matching
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
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We propose a 3D feature detector (MeshDOG) and a 3D feature descriptor (MeshHOG) for uniformly triangulated meshes, invariant to changes in rotation, translation, and scale. ...
In this paper we revisit local feature detectors/descriptors developed for 2D images and extend them to the more general framework of scalar fields defined on 2D manifolds. ...
Conclusion We have introduced MeshDOG and MeshHOG, a new 3D interest point detector and a new 3D descriptor, defined on uniformly sampled triangular meshes. ...
doi:10.1109/cvpr.2009.5206748
dblp:conf/cvpr/ZaharescuBVH09
fatcat:boyip5r76nfnlmcyqjhquw77wi
Surface feature detection and description with applications to mesh matching
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
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We propose a 3D feature detector (MeshDOG) and a 3D feature descriptor (MeshHOG) for uniformly triangulated meshes, invariant to changes in rotation, translation, and scale. ...
In this paper we revisit local feature detectors/descriptors developed for 2D images and extend them to the more general framework of scalar fields defined on 2D manifolds. ...
Conclusion We have introduced MeshDOG and MeshHOG, a new 3D interest point detector and a new 3D descriptor, defined on uniformly sampled triangular meshes. ...
doi:10.1109/cvprw.2009.5206748
fatcat:e653dwz7wvhlji44tmfen4ysei
Efficient similarity search on 3D bounding box annotations
2012
Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications
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In this paper, we propose a fast query pipeline for 3D similarity queries on large databases of computed tomography (CT) scans consisting of minimum bounding box annotations. ...
necessity of a full segmentation step and thus, it works much faster. ...
It is funded by the German Federal Ministry of Economics and Technology under the grant number 01MQ07020. The responsibility for this publication lies with the authors. ...
doi:10.1117/12.911292
fatcat:tjohp55vinffxn4lmc6mh4st6e
Local Color Voxel and Spatial Pattern for 3D Textured Recognition
2017
International Journal on Advanced Science, Engineering and Information Technology
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3D textured retrieval including shape, color dan pattern is still a challenging research. ...
Finally, a combination of local spectra and spatial and established global features approach called multi fourier descriptor are proposed. ...
A.Tatsuma, M.Aono propose Multi Fourier Spectral Descriptor and Multiresolution Representation Local Binary Pattern Histogram (MRLBPH) which captured texture features of rendered image from a 3D model ...
doi:10.18517/ijaseit.7.2.2173
fatcat:nrd2wggtcbh73lkvqvu6oefxmu
One-Shot Learning for Real-Time Action Recognition
[chapter]
2013
Lecture Notes in Computer Science
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The proposed method relies on descriptors based on 3D Histogram of Flow (3DHOF) and on Global Histogram of Oriented Gradient (GHOG); adaptive sparse coding (SC) is further applied to capture high-level ...
The main contribution of the paper is a real-time system for one-shot action modeling; moreover we highlight the effectiveness of sparse coding techniques to represent 3D actions. ...
We show that a combination of 3D Histograms of Flow (3DHOFs) and Global Histograms of Gradient (GHOGs) models satisfactorily human actions. 3D Histogram of Flow. ...
doi:10.1007/978-3-642-38628-2_4
fatcat:4ehvgwazsrcflcp2deyoydypjq
Reslicing axially sampled 3D shapes using elliptic Fourier descriptors
2007
Medical Image Analysis
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We propose a new method that interpolates between parallel slices from a 3D shape for the purposes of reslicing and putting into correspondence organ shapes acquired from volumetric medical imagery. ...
By interpolating the coefficients of elliptic Fourier descriptors for a set of parallel contours, a new set of slices can be directly generated at desired axial locations. ...
Michael Lovelock of Memorial Sloan-Kettering Cancer Center for providing the prostate datasets and contours. ...
doi:10.1016/j.media.2006.12.003
pmid:17280865
fatcat:h7tnsoc7h5gufpdg74kqv4eyv4
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