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 Experiment Videos

Visual appearance of matte surfaces

S K Nayar1, M Oren

  • 1Department of Computer Science, Columbia University, New York, NY 10027.

Science (New York, N.Y.)
|February 24, 1995
PubMed
Summary
This summary is machine-generated.

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

Burnout in trauma and orthopaedics: a cross-sectional study of surgeons from across the United Kingdom.

Annals of the Royal College of Surgeons of England·2023
Same author

Reversal of direct oral anticoagulants in adult hip fracture patients. A systematic review and meta-analysis.

Injury·2021
Same author

Waterlow score for risk assessment in surgical patients: a systematic review.

Annals of the Royal College of Surgeons of England·2021
Same author

The global burden of trauma during the COVID-19 pandemic: A scoping review.

Journal of clinical orthopaedics and trauma·2020
Same author

Usefulness of the 'two-step method' of digital follow-up for early-stage melanoma detection in high-risk French patients: a retrospective 4-year study.

The British journal of dermatology·2019
Same author

let-7b and let-7c microRNAs promote histone H2B ubiquitylation and inhibit cell migration by targeting multiple components of the H2B deubiquitylation machinery.

Oncogene·2017
Same journal

Erratum for the Research Article "Detecting supramolecular organic nanoparticles during heat wave".

Science (New York, N.Y.)·2026
Same journal

Local signals, systemic decline.

Science (New York, N.Y.)·2026
Same journal

The mechanics of liver regeneration.

Science (New York, N.Y.)·2026
Same journal

Computing in a memory with physics.

Science (New York, N.Y.)·2026
Same journal

Retraction.

Science (New York, N.Y.)·2026
Same journal

Making time.

Science (New York, N.Y.)·2026
See all related articles

Visual sensors have limited resolution, affecting how surface reflectance appears. This study introduces a new reflectance model for matte surfaces that accounts for surface texture and improves machine vision and computer graphics.

Area of Science:

  • Computer Vision
  • Surface Reflectance Modeling
  • Computational Imaging

Background:

  • Visual sensors, both biological and artificial, possess finite resolution.
  • Surface appearance is influenced by magnification due to these resolution limits.
  • Existing models often do not fully capture the complexities of real-world surface interactions.

Purpose of the Study:

  • To develop a reflectance model for matte surfaces that incorporates macroscopic surface undulations.
  • To account for physical phenomena like masking, shadowing, and interreflections.
  • To predict and demonstrate the appearance of natural surfaces across different scales.

Main Methods:

  • Developed a novel reflectance model for matte surfaces.
  • Incorporated physical phenomena: masking, shadowing, and interreflections.

Related Experiment Videos

  • Validated the model using real and rendered 3D objects.

    • Main Results:

    • The model accurately predicts the appearance of diverse natural surfaces.
    • Demonstrated implications for human vision, machine vision, and computer graphics.
    • Showcased how rough surfaces can lack shading, hindering shape perception.

    Conclusions:

    • The proposed reflectance model enhances the understanding of surface appearance under varying magnification.
    • This work has significant implications for improving visual perception in artificial systems and realistic rendering.
    • Understanding surface undulations is crucial for accurate shape interpretation.