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Related Concept Videos

Structural Classification of Joints01:20

Structural Classification of Joints

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.
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Related Experiment Video

Updated: May 9, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Boundary Inheritance Codec for high-accuracy structured light three-dimensional reconstruction with comparative

Lam Quang Bui1, Sukhan Lee

  • 1Intelligent Systems Research Institute, College of Information and Communication Engineering, Sungkyunkwan University, Suwon, South Korea.

Applied Optics
|August 6, 2013
PubMed
Summary
This summary is machine-generated.

A new Boundary Inheritance Codec method enhances 3D reconstruction accuracy by precisely recovering real boundaries and utilizing boundary inheritance for improved projector-camera correspondence, outperforming existing techniques.

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Area of Science:

  • Computer Vision
  • 3D Reconstruction
  • Computational Imaging

Background:

  • Structured light 3D reconstruction is crucial for digital modeling.
  • Existing methods like Gray-code (GC) struggle with accuracy and noise.
  • Precise projector-camera correspondence is essential for reliable 3D data.

Purpose of the Study:

  • Introduce a novel Boundary Inheritance Codec (BIC) for high-accuracy 3D reconstruction.
  • Improve projector-camera correspondence through enhanced boundary recovery.
  • Demonstrate the superiority of BIC over conventional methods.

Main Methods:

  • Real-boundary recovery: precise identification of coded pattern boundaries in image coordinates.
  • Radiance-independent boundary detection and disambiguation of true/false boundaries.
  • Boundary inheritance: leveraging hierarchical pattern consistency for accuracy enhancement.

Main Results:

  • BIC achieved superior accuracy and robustness compared to Gray-code inverse (GCI) and GC+LS/PS.
  • BIC demonstrated significantly lower error standard deviation (0.152 mm vs. 0.312 mm for GCI).
  • BIC exhibited a much lower percentile of outliers (0.089% vs. 3.937% for GCI).

Conclusions:

  • The Boundary Inheritance Codec offers a significant advancement in structured light 3D reconstruction.
  • BIC's real-boundary recovery and inheritance mechanisms provide enhanced accuracy and robustness.
  • This method presents a more reliable alternative for applications demanding precise 3D data.