scholarly journals Intrinsic shape context descriptors for deformable shapes

2012 ◽  
Author(s):  
I. Kokkinos ◽  
M. M. Bronstein ◽  
R. Litman ◽  
A. M. Bronstein
Keyword(s):  
Shape Context ◽  
Deformable Shapes ◽  
Intrinsic Shape

scholarly journals Direct mapping of hippocampal surfaces with intrinsic shape context

NeuroImage ◽  
2007 ◽  
Vol 37 (3) ◽  
pp. 792-807 ◽  
Author(s):  
Yonggang Shi ◽  
Paul M. Thompson ◽  
Greig I. de Zubicaray ◽  
Stephen E. Rose ◽  
Zhuowen Tu ◽  
...  
Keyword(s):  
Shape Context ◽  
Direct Mapping ◽  
Intrinsic Shape

scholarly journals A Fast Point Clouds Registration Algorithm for Laser Scanners

2021 ◽  
Vol 11 (8) ◽  
pp. 3426
Author(s):  
Guangxuan Xu ◽  
Yajun Pang ◽  
Zhenxu Bai ◽  
Yulei Wang ◽  
Zhiwei Lu
Keyword(s):  
Laser Scanner ◽  
Point Clouds ◽  
Shape Context ◽  
Registration Accuracy ◽  
Icp Algorithm ◽  
Laser Scanners ◽  
Intrinsic Shape ◽  
Random Sample Consensus ◽  
Voxel Grid ◽  
Ransac Algorithm

Point clouds registration is an important step for laser scanner data processing, and there have been numerous methods. However, the existing methods often suffer from low accuracy and low speed when registering large point clouds. To meet this challenge, an improved iterative closest point (ICP) algorithm combining random sample consensus (RANSAC) algorithm, intrinsic shape signatures (ISS), and 3D shape context (3DSC) is proposed. The proposed method firstly uses voxel grid filter for down-sampling. Next, the feature points are extracted by the ISS algorithm and described by the 3DSC. Afterwards, the ISS-3DSC features are used for rough registration with the RANSAC algorithm. Finally, the ICP algorithm is used for accurate registration. The experimental results show that the proposed algorithm has faster registration speed than the compared algorithms, while maintaining high registration accuracy.

scholarly journals The apparent and intrinsic shape of the APM galaxy clusters

2000 ◽  
Vol 316 (4) ◽  
pp. 779-785 ◽  
Author(s):  
S. Basilakos ◽  
M. Plionis ◽  
S. J. Maddox
Keyword(s):  
Galaxy Clusters ◽  
Intrinsic Shape

scholarly journals The lumbar spine has an intrinsic shape specific to each individual that remains a characteristic throughout flexion and extension

2014 ◽  
Vol 23 (S1) ◽  
pp. 26-32 ◽  
Author(s):  
Anastasia V. Pavlova ◽  
Judith R. Meakin ◽  
Kay Cooper ◽  
Rebecca J. Barr ◽  
Richard M. Aspden
Keyword(s):  
Lumbar Spine ◽  
Intrinsic Shape ◽  
Flexion And Extension

THE INTRINSIC SHAPE OF THE LUMBAR SPINE AND THE EFFECTS OF POSTURE AND TIME OF DAY

2008 ◽  
Vol 41 ◽  
pp. S198
Author(s):  
Judith R. Meakin ◽  
Jennifer S. Gregory ◽  
Francis W. Smith ◽  
Fiona J. Gilbert ◽  
Richard M. Aspden
Keyword(s):  
Lumbar Spine ◽  
Time Of Day ◽  
Intrinsic Shape

Diagnostic of Injury Risk in the Anterior Cruciate Ligament Based On Shape Context Description of the Intercondylar Notch Curvature

2021 ◽  
Author(s):  
Joao Paulo Dias ◽  
Ariful Bhuiyan ◽  
Nabila Shamim
Keyword(s):  
Anterior Cruciate Ligament ◽  
Injury Risk ◽  
Cruciate Ligament ◽  
Acl Injury ◽  
False Positives ◽  
Intercondylar Notch ◽  
Mr Images ◽  
Shape Context ◽  
Similarity Factor ◽  
Anterior Cruciate

Abstract An estimated number of 300,000 new anterior cruciate ligament (ACL) injuries occur each year in the United States. Although several magnetic resonance (MR) imaging-based ACL diagnostics methods have already been proposed in the literature, most of them are based on machine learning or deep learning strategies, which are computationally expensive. In this paper, we propose a diagnostics framework for the risk of injury in the anterior cruciate ligament (ACL) based on the application of the inner-distance shape context (IDSC) to describe the curvature of the intercondylar notch from MR images. First, the contours of the intercondylar notch curvature from 91 MR images of the distal end of the femur (70 healthy and 21 with confirmed ACL injury) were extracted manually using standard image processing tools. Next, the IDSC was applied to calculate the similarity factor between the extracted contours and reference standard curvatures. Finally, probability density functions of the similarity factor data were obtained through parametric statistical inference, and the accuracy of the ACL injury risk diagnostics framework was assessed using receiver operating characteristic analysis (ROC). The overall results for the area under the curve (AUC) showed that method reached a maximum accuracy of about 66%. Furthermore, the sensitivity and specificity results showed that an optimum discrimination threshold value for the similarity factor can be pursued that minimizes the incidence of false positives and false positives simultaneously.

An Intrinsic Shape Estimation Algorithm for Flexible Ultrasound Probes Intended for Clinical Applications

2021 ◽  
Author(s):  
Amirhossein Omidvar ◽  
Robert Rohling ◽  
Edmond Cretu ◽  
Mark Cresswell ◽  
Antony J. Hodgson
Keyword(s):  
Estimation Algorithm ◽  
Clinical Applications ◽  
Shape Estimation ◽  
Intrinsic Shape ◽  
Ultrasound Probes

Obtaining Intrinsic Shape Properties with a Disparity-Based Photometric Stereo

1994 ◽  
pp. 67-74
Author(s):  
José R. A. Torreão ◽  
Cecilio J. L. Pimentel
Keyword(s):  
Photometric Stereo ◽  
Intrinsic Shape
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