A Study on Crest Line Detection Techniques from 3D models (3차원 모델로 부터의 돌출선 감지 기술 연구 )

Sookyun Kim (김수균); Kim,SeokHun (김석훈)

A Study on Crest Line Detection Techniques from 3D models

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2010, 5(4), pp.53~58
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Published : August 31, 2010

Sookyun Kim ¹, Kim,SeokHun ²

¹배재대학교
²(주)파라곤베이스

Candidate

ABSTRACT

With evolution of computer graphics, especially non-photorealistic rendering (NPR), detecting of feature from polygonal mesh became a very popular technique. Crest lines are some data detected from a polygonal mesh that contains a lot of information about the geometry of the mesh. Here we are interested in linear features, set of lines, that can best convey model’s shape. The purpose of this paper is to overview the most popular types of features and methods to extract them from a 3D model represented by polygonal mesh data.

KEYWORDS

Crest lines, crest detection, implict surface, NPR, 3D model

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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