Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Structural Classification of Joints01:20

Structural Classification of Joints

6.5K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
6.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The complete chloroplast genome sequence and phylogenetic position of <i>Causonis japonica</i> (Thunb.) Raf. (Vitaceae).

Mitochondrial DNA. Part B, Resources·2026
Same author

Prediction of severe pediatric community-acquired pneumonia using multimodal fusion of chest radiographs and clinical data.

BMC pediatrics·2026
Same author

Oligomer disassembly activates an HEPN-containing bacterial defense system.

Molecular cell·2026
Same author

Aridity-related differences in soil elemental ratios reshape microbial functional traits across global biomes.

Nature communications·2026
Same author

Root anatomical traits modulate the assembly and nitrogen-transformation potential of root-associated microbiomes in a temperate steppe.

The New phytologist·2026
Same author

Machine Learning-Assisted Design of Infrared-Radar-Visible Light Compatible Stealth Flexible Metamaterial Structures.

ACS applied materials & interfaces·2026
Same journal

A novel Milstein-stochastic epidemiologically-informed neural network for approaching epidemic dynamics: Application to Mpox disease.

Computer methods and programs in biomedicine·2026
Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
Same journal

Relative spectral and frication-based descriptors as numerical indicators of place of articulation shifts in fricatives produced by Polish children.

Computer methods and programs in biomedicine·2026
See all related articles

Related Experiment Video

Updated: Dec 7, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.2K

3D object reassembly using region-pair-relation and balanced cluster tree.

Sheng-Hui Liao1, Chao Xiong1, Shu Liu1

  • 1School of Computer Science and Engineering, Central South University, Changsha 410083, China.

Computer Methods and Programs in Biomedicine
|September 24, 2020
PubMed
Summary
This summary is machine-generated.

This study presents a novel method for 3D object reassembly, enabling accurate reconstruction of broken objects and bone fractures. The approach achieves fast, automated, and semi-interactive reassembly, significantly improving efficiency.

Keywords:
Coarse-to-fine matchingFracture reductionObject reassemblyRegion-pair-relation

More Related Videos

Three-Dimensional Reconstruction of Orbital Fractures
08:18

Three-Dimensional Reconstruction of Orbital Fractures

Published on: May 16, 2025

503
Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.5K

Related Experiment Videos

Last Updated: Dec 7, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.2K
Three-Dimensional Reconstruction of Orbital Fractures
08:18

Three-Dimensional Reconstruction of Orbital Fractures

Published on: May 16, 2025

503
Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.5K

Area of Science:

  • Computer Vision
  • Computational Geometry
  • Medical Imaging

Background:

  • 3D object reassembly is crucial for applications like surgical planning and restoration.
  • Existing methods often lack robustness or efficiency for complex tasks.

Purpose of the Study:

  • To develop a general framework for 3D object reassembly.
  • To address both conventional object reconstruction and bone fracture reduction.

Main Methods:

  • Introduced a rotation- and translation-invariant region-pair-relation descriptor.
  • Utilized a balanced cluster tree for object segmentation.
  • Developed a coarse-to-fine reassembly strategy with recursive matching quality estimation.
  • Implemented least squares for precise matching and semi-interactive manipulation for complex cases.

Main Results:

  • Achieved high-accuracy reassembly of broken objects within 10 seconds.
  • Enabled automatic reassembly of fragments of varying sizes.
  • Provided precise matching for bone fractures with cancellous structures in 30 seconds using semi-interactive operation.

Conclusions:

  • The framework supports automated and semi-automated object reassembly.
  • Demonstrated significant advantages for medical applications, particularly in fracture reduction.
  • Offers a more efficient alternative to intensive manual processes.