Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DSpace at Tartu Univ...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
addClaim

Servade tahumise algoritm

Authors: Algma, Diana;

Servade tahumise algoritm

Abstract

When comparing real-life objects and 3D models, one telltale sign that an object in question is a model, is the sharpness of its edges. This is more apparent for hard surface models like models depicting furniture and machinery, which look more real if their edges are a bit rounder. The goal of this thesis is to create an algorithm that uses the edge chamfering technique to automatically smooth out all hard edges of a mesh. The thesis describes 3D models and how they are stored in a game engine, different ways to soften hard edges, and the implementation of the created algorithm.

Võrreldes päris esemeid ja 3D mudeleid, tunneb 3D mudeli enamasti ära selle teravate servade tõttu. Eriti torkavad need silma kõvakatteliste mudelite puhul, nagu mööbli ja masinate mudelid, mis näevad kumeramate servadega välja reaalsemad. Selle lõputöö eesmärk on luua algoritm, mis kasutab servade tahumise tehnikat, et automaatselt mudeli teravaid servi kumerdada. Lõputöö kirjeldab 3D mudeleid ja kuidas neid mängumootoris salvestatakse, erinevaid viise servade tahumiseks ja loodud algoritmi implementatsiooni.

Country
Estonia
Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green