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

You might also read

Related Articles

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

Sort by
Same author

Restoring warped document images through 3D shape modeling.

IEEE transactions on pattern analysis and machine intelligence·2006
Same author

Lamivudine prophylaxis reduces the incidence and severity of hepatitis in hepatitis B virus carriers who receive chemotherapy for lymphoma.

Cancer·2006
Same author

Influence of an amide group in methyl octadecanoates on the monolayer stability.

Langmuir : the ACS journal of surfaces and colloids·2006
Same author

The co-existence of two growth hormone receptors in teleost fish and their differential signal transduction, tissue distribution and hormonal regulation of expression in seabream.

Journal of molecular endocrinology·2006
Same author

Proteomic profiling of regionalized proteins in rat epididymis indicates consistency between specialized distribution and protein functions.

Journal of proteome research·2006
Same author

Identification of a new Neisseria meningitidis serogroup C clone from Anhui province, China.

Lancet (London, England)·2006

Related Experiment Video

Updated: Mar 3, 2026

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
05:12

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

2.5K

3D cost aggregation with multiple minimum spanning trees for stereo matching.

Lincheng Li, Xin Yu, Shunli Zhang

    Applied Optics
    |April 22, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an improved stereo matching method using minimum spanning tree (MST) filtering within PatchMatch 3D label search. The novel approach enhances aggregation accuracy, outperforming existing techniques and achieving top results on the Middlebury benchmark.

    More Related Videos

    3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
    10:14

    3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

    Published on: May 12, 2019

    7.7K
    Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
    14:14

    Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics

    Published on: April 16, 2017

    12.0K

    Related Experiment Videos

    Last Updated: Mar 3, 2026

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
    05:12

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

    Published on: August 12, 2021

    2.5K
    3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
    10:14

    3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

    Published on: May 12, 2019

    7.7K
    Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics
    14:14

    Quantification of Strain in a Porcine Model of Skin Expansion Using Multi-View Stereo and Isogeometric Kinematics

    Published on: April 16, 2017

    12.0K

    Area of Science:

    • Computer Vision
    • Artificial Intelligence

    Background:

    • Cost aggregation is crucial for stereo matching accuracy.
    • Existing methods often use fixed-size patches, limiting performance.

    Purpose of the Study:

    • To enhance stereo matching cost aggregation accuracy.
    • To integrate minimum spanning tree (MST)-based support region filtering into PatchMatch 3D label search.

    Main Methods:

    • Developed a novel cost-aggregation method embedding MST filtering into PatchMatch 3D.
    • Created multiple MST structures for 3D label cost aggregation.
    • Designed a tree-level random search strategy for pixel label identification.

    Main Results:

    • The proposed method significantly improves aggregation accuracy compared to fixed-size patches.
    • Achieved superior performance over existing methods like 1D MST, PatchMatch, and PatchMatch Filter.
    • Ranked first on the Middlebury 3.0 stereo matching benchmark.

    Conclusions:

    • The integration of MST filtering with PatchMatch 3D offers a more accurate stereo matching solution.
    • The developed tree-level random search effectively handles the complexity of combining these techniques.
    • This approach sets a new state-of-the-art for stereo matching cost aggregation.