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

Electronic Skin: Opportunities and Challenges in Convergence with Machine Learning.

Annual review of biomedical engineering·2024
Same author

MultiSenseBadminton: Wearable Sensor-Based Biomechanical Dataset for Evaluation of Badminton Performance.

Scientific data·2024
Same author

A Deeper Analysis of Volumetric Relightable Faces.

International journal of computer vision·2024
Same author

Robust Finger Interactions with COTS Smartwatches via Unsupervised Siamese Adaptation.

Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology·2024
Same author

Computational discovery of microstructured composites with optimal stiffness-toughness trade-offs.

Science advances·2024
Same author

Adaptive tactile interaction transfer via digitally embroidered smart gloves.

Nature communications·2024

Related Experiment Video

Updated: Apr 30, 2026

Voxel Printing Anatomy: Design and Fabrication of Realistic, Presurgical Planning Models through Bitmap Printing
11:36

Voxel Printing Anatomy: Design and Fabrication of Realistic, Presurgical Planning Models through Bitmap Printing

Published on: February 9, 2022

2.5K

3D-printing spatially varying BRDFs.

Olivier Rouiller, Bernd Bickel, Jan Kautz

    IEEE Computer Graphics and Applications
    |May 9, 2014
    PubMed
    Summary
    This summary is machine-generated.

    Researchers developed a new 3D printing method to create custom surface appearances. This technique fabricates spatially varying bidirectional reflectance distribution functions (svBRDFs) on various materials and shapes.

    More Related Videos

    4D Printed Bifurcated Stents with Kirigami-Inspired Structures
    06:52

    4D Printed Bifurcated Stents with Kirigami-Inspired Structures

    Published on: July 25, 2019

    7.8K
    Viability of Bioprinted Cellular Constructs Using a Three Dispenser Cartesian Printer
    07:05

    Viability of Bioprinted Cellular Constructs Using a Three Dispenser Cartesian Printer

    Published on: September 22, 2015

    9.8K

    Related Experiment Videos

    Last Updated: Apr 30, 2026

    Voxel Printing Anatomy: Design and Fabrication of Realistic, Presurgical Planning Models through Bitmap Printing
    11:36

    Voxel Printing Anatomy: Design and Fabrication of Realistic, Presurgical Planning Models through Bitmap Printing

    Published on: February 9, 2022

    2.5K
    4D Printed Bifurcated Stents with Kirigami-Inspired Structures
    06:52

    4D Printed Bifurcated Stents with Kirigami-Inspired Structures

    Published on: July 25, 2019

    7.8K
    Viability of Bioprinted Cellular Constructs Using a Three Dispenser Cartesian Printer
    07:05

    Viability of Bioprinted Cellular Constructs Using a Three Dispenser Cartesian Printer

    Published on: September 22, 2015

    9.8K

    Area of Science:

    • Computer Graphics
    • Materials Science
    • Optics

    Background:

    • Accurately reproducing complex surface appearances is challenging.
    • Existing methods struggle with spatially varying appearance properties.
    • Bidirectional Reflectance Distribution Functions (BRDFs) describe surface light interaction.

    Purpose of the Study:

    • To develop a novel method for fabricating custom surface reflectance.
    • To enable the printing of spatially varying bidirectional reflectance distribution functions (svBRDFs).
    • To utilize 3D printing technology for realistic material appearance reproduction.

    Main Methods:

    • Optimizing microgeometry for specific normal distribution functions.
    • Simulating the effective reflectance of the designed microgeometry.
    • Distributing the optimized microgeometry on a material surface to match target svBRDFs.
    • Employing current 3D printing technology for fabrication.

    Main Results:

    • Successful fabrication of custom surface reflectance properties.
    • Demonstrated ability to reproduce input svBRDFs by controlling microgeometry distribution.
    • Method works with limited printing materials on planar samples.
    • Potential for application on arbitrary shapes.

    Conclusions:

    • The new method offers a viable approach for printing complex surface appearances.
    • This technique advances the capabilities of 3D printing for material simulation.
    • It opens possibilities for creating custom visual effects and realistic material reproductions.