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

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...
Guidelines for Sketching a Curve01:23

Guidelines for Sketching a Curve

Curve sketching is a systematic method for understanding the overall behavior of a function by analyzing its key mathematical features. A function defines a curve on the coordinate plane, where the horizontal axis represents the input variable and the vertical axis represents the output. The process begins by determining the domain, which specifies the set of input values for which the function is defined and establishes the horizontal extent of the graph.Intercepts with the horizontal and...
Curve Sketching and Derivatives01:22

Curve Sketching and Derivatives

Understanding the behavior of a function through its first and second derivatives is essential for analyzing its graph. Derivatives provide insight into where a function increases or decreases, where it attains local maxima or minima, and how its curvature behaves across different intervals.The first derivative of a function reveals the slope of the tangent line at any given point. Points where the derivative is zero or undefined are considered critical, as they often indicate potential extrema...
Theorems of Pappus and Guldinus: Problem Solving01:12

Theorems of Pappus and Guldinus: Problem Solving

Pappus and Guldinus's theorems are powerful mathematical principles that are used for finding the surface area and volume of composite shapes. For example, consider a cylindrical storage tank with a conical top. Finding the surface area or volume can be challenging for such complex shapes. These theorems are particularly useful in calculating the volume and surface area of such systems. Here, the cylindrical storage tank with a conical top can be broken down into two simple shapes: a cylinder...
First Derivatives and the Shape of a Graph01:22

First Derivatives and the Shape of a Graph

In calculus, the concept of the first derivative plays a crucial role in understanding the behavior of a function over its domain. The first derivative, denoted as f’(x), provides insight into how a function changes at any given point, much like a cyclist adjusting speed along a winding trail. By analyzing the first derivative, mathematicians can determine where a function is increasing, decreasing, or reaching critical points.The first derivative provides a precise method for classifying...
Second Derivatives and the Shape of a Graph01:29

Second Derivatives and the Shape of a Graph

The second derivative of a function provides essential information about a graph's curvature and how it changes over an interval. It helps determine whether a function is concave upward or concave downward and identifies points where the curvature changes. These properties are fundamental in analyzing real-world scenarios, such as changes in road elevation, population growth, and economic trends.A function f(x) is considered concave upward on an interval if its graph lies above all its tangent...

You might also read

Related Articles

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

Sort by
Same author

La Coupole: an SVBRDF measurement device for large and non-planar objects.

Optics express·2026
Same author

LaPDA: Latent-Space Point Cloud Denoising With Adaptivity.

IEEE transactions on visualization and computer graphics·2025
Same author

Orientation fields predict human perception of 3D shape from shading.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Supercontinuum laser-based gonio-scatterometer for in and out-of-plane spectral BRDF measurements.

Optics express·2024
Same author

Material category of visual objects computed from specular image structure.

Nature human behaviour·2023
Same author

The visual appearances of disordered optical metasurfaces.

Nature materials·2022
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Jun 6, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Improving shape depiction under arbitrary rendering.

Romain Vergne1, Romain Pacanowski, Pascal Barla

  • 1Bordeaux 1 University, Room 256, LaBRI, 351 cours de la Liberation, Talence 33405, Cedex, France. vergne@labri.fr

IEEE Transactions on Visualization and Computer Graphics
|December 15, 2010
PubMed
Summary
This summary is machine-generated.

Radiance Scaling enhances 3D shape depiction by adjusting light intensity based on surface curvature and material properties. This novel technique improves the visualization of concavities and convexities for real-time interactive applications.

More Related Videos

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

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

Related Experiment Videos

Last Updated: Jun 6, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

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

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

Area of Science:

  • Computer Graphics
  • Geometric Modeling
  • Rendering Techniques

Background:

  • Shading techniques traditionally rely on intensity gradients to infer shape.
  • Classical shading equations lack versatility in depicting complex surface features.

Purpose of the Study:

  • Introduce Radiance Scaling, a novel technique for versatile shape depiction.
  • Enhance the visualization of surface concavities and convexities.

Main Methods:

  • Modify classical shading equations by scaling reflected light intensities.
  • Incorporate surface curvature and material characteristics into the scaling process.
  • Correlate diffuse shading and highlight variations with surface features.

Main Results:

  • Achieve satisfying shape depiction across diverse materials (Phong, Ashikmin-Shirley BRDFs, cartoon, sub-Lambertian, reflective, refractive).
  • Demonstrate compatibility with various lighting environments (single light, area lights, interreflections).
  • Show adaptability with precomputed radiance data (Ambient Occlusion, Prefiltered Environment Maps, Lit Spheres).

Conclusions:

  • Radiance Scaling offers versatile shape depiction functionalities.
  • The technique is suitable for real-time interactive 3D visualization on modern graphics hardware.