컴퓨터 알고리즘 추천에 의한 포토모자이크 기법
A Photomosaics Method by Preference of a Computer Algorithm
- 발행
- 2011 등록KCI API에는 발행일 항목이 없어 원문 등록일을 쓰고 있습니다. 실측으로 발행보다 최대 6년 늦습니다 — 재수집하면 발행연월로 바뀝니다.
- 소속·발행
- 숭실대학교
- 출처
- 국내 KCI
- DOI
- 10.36726/cammp.2010.9.2.109
- UCI
- G704+INS000002240-ART001536937
- 원문
- 원문 보기 ↗
개념
키워드
Photomosaics, Principle Component Analysis,Real-time Rendering, Photomosaics, Principle Component Analysis,Real-time Rendering
초록
We propose a new photomosaics method using principle components of candidate photo set. PCA(Principle Component Analysis) reduces dimensions of non-intuitive high dimension data set and allows us to deal the data set more easily. Principle component is a good direction of a basis representing each data according to its distribution. Two data projected onto a certain principal component are similar if their projected position are similar. More principle components provide more accurate comparison between data. We selected the most similar candidate photo to an input photo tile using properties of PCA. Unlike most previous photomosaics methods,photomosaics author can choose candidate photo set and manipulate the number of principle components to change mood of the result of his work. For more active making of photomoasics, we expend room for intervention of author's opinions and propose a method to make various results by a simple way.