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

Shape and Texture of Coarse Aggregate01:25

Shape and Texture of Coarse Aggregate

234
Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
234

You might also read

Related Articles

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

Sort by
Same author

Evaluation of shape recovery algorithm for translucent objects.

Scientific reports·2026
Same author

Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography.

Frontiers in neuroscience·2020
Same author

Development of multi-directional functional near-infrared spectroscopy system for human neuroimaging studies.

Biomedical optics express·2019
Same author

Computational Model for Human 3D Shape Perception From a Single Specular Image.

Frontiers in computational neuroscience·2019
Same author

Large-scale brain network associated with creative insight: combined voxel-based morphometry and resting-state functional connectivity analyses.

Scientific reports·2018
Same author

Anodal transcranial direct current stimulation of the right anterior temporal lobe did not significantly affect verbal insight.

PloS one·2017

Related Experiment Video

Updated: Jul 16, 2025

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

7.1K

3D shape recovery algorithm from image orientations of textured surfaces.

Takeaki Shimokawa

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |September 14, 2023
    PubMed
    Summary

    This study introduces a novel 3D shape recovery algorithm using image orientation from single textured images. The method accurately reconstructs 3D shapes, matching human perception capabilities.

    Area of Science:

    • Computer Vision
    • Computational Geometry
    • Human Perception

    Background:

    • Psychophysical studies show image orientation influences human 3D shape perception.
    • Computational 3D shape reconstruction from image orientation needs further investigation.

    Purpose of the Study:

    • To propose and evaluate a novel algorithm for 3D shape recovery from single textured surface images using image orientation.
    • To assess the accuracy of computational 3D shape reconstruction based solely on image orientation.

    Main Methods:

    • Developed a 3D shape recovery algorithm utilizing image orientation cues from a single textured image.
    • Evaluated the algorithm's performance on computer-generated complex 3D textured surfaces.

    Main Results:

    More Related Videos

    Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
    08:59

    Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

    Published on: October 28, 2018

    7.1K
    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
    13:44

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

    Published on: August 30, 2013

    42.9K

    Related Experiment Videos

    Last Updated: Jul 16, 2025

    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

    7.1K
    Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
    08:59

    Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps

    Published on: October 28, 2018

    7.1K
    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
    13:44

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

    Published on: August 30, 2013

    42.9K
    • The algorithm achieved depth correlations of 0.8 or higher between recovered and true 3D shapes.
    • This accuracy level is comparable to human shape perception capabilities.

    Conclusions:

    • Image orientation in textured surfaces provides sufficient information for accurate 3D shape recovery.
    • The proposed algorithm demonstrates the potential for robust 3D shape reconstruction from single images.