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NURMS

In computer graphics, non-uniform rational mesh smooth (NURMS) or subdivision surface technique is typically applied to a low-polygonal mesh to create a high-polygonal smoothed mesh.

Usage & Overview

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Research this topic

Explore the main themes, entities and connections around NURMS. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Usage

1 related topics

Overview

3 related topics

Topics to explore

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Overview

Usage

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

NURMS

Nodes7
Edges6
Triples6
Avg. degree1.71
Density0.285714
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

NURMS

Top relations

related to Usage · 5
NURMS → Adobe Illustrator, Autodesk, Max, The, There

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

mesh max smooth smoothed 3d 3ds smoothing algorithm low-polygon computer graphics non-uniform rational subdivision surface technique typically applied low-polygonal create

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Autodesk 3ds Max to perform mesh smoothing operationsinstance ofUsageNURMS are used in commercial 3D packages0.80text
NURMSrelated to UsageAutodesk0.60section
NURMSrelated to UsageMax0.60section
NURMSrelated to UsageThe0.60section
NURMSrelated to UsageThere0.60section
NURMSrelated to UsageAdobe Illustrator0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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