• Title/Summary/Keyword: 표현이미지

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Artificial Neural Networks based Strand Synthesizer for Hair Super-Resolution (모발 슈퍼 해상도를 위한 인공신경망 기반의 머리카락 합성기)

  • Kim, Donghui;Kim, Jong-Hyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.661-662
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    • 2021
  • 본 논문에서는 인공신경망 기반의 슈퍼 해상도(Super-resolution, SR) 기법을 이용하여 저해상도(Low-resolution, LR) 헤어 시뮬레이션을 고해상도(High-resolution, HR)로 노이즈 없이 표현할 수 있는 기법을 제안한다. LR과 HR 머리카락 간의 쌍은 헤어 시뮬레이션을 통해 얻을 수 있으며, 이렇게 얻어진 데이터를 이용하여 HR-LR 데이터 쌍을 설정한다. 학습할 때 사용되는 데이터는 머리카락의 위치를 지오메트리 이미지로 변환하여 사용한다. 우리가 제안하는 헤어 네트워크는 LR 이미지를 HR 이미지로 업스케일링 시키는 이미지 합성기를 위해 사용된다. 테스트 결과로 얻어진 HR 이미지가 HR 머리카락으로 다시 변환되면, 하나의 매핑 함수로 표현하기 어려운 머리카락의 찰랑거리는(Elastic) 움직임을 잘 표현할 수 있다. 합성 결과에 대한 성능으로는 전통적인 물리 기반 시뮬레이션보다 빠른 성능을 보였으며, 복잡한 수치해석을 몰라도 쉽게 실행이 가능하다.

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Exaggerated Cartooning using a Reference Image (참조 이미지를 이용한 과장된 카투닝)

  • Han, Myoung-Hun;Seo, Sang-Hyun;Ryoo, Seung-Taek;Yoon, Kyung-Hyun
    • Journal of the Korea Computer Graphics Society
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    • v.17 no.1
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    • pp.33-38
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    • 2011
  • This paper proposes the method of image cartooning, that makes cartoon-like images of a target, using reference images. We deform a target image using pre-defined reference images. For this deformation, we extract feature points from the target image by Active Appearance Model(AAM) and apply the warping method to the target using feature points of target and feature points of reference image as a basis of warping function. We create simplified cartoon-like images by abstraction of the deformed target image and drawing of edges and quantization of luminance of the abstracted image. Two main concept of cartoon(exaggeration and simplification) is inhered in this method when we use a exaggerated cartoon image as a reference image. It is possible for this method to create various results by control of warping and change of reference image.

Effect of text and image presenting method on Chinese college students' learning flow, learning satisfaction and learning outcome in video learning environment (중국대학생 동영상 학습에서 텍스트 제시방식과 이미지 제시방식이 학습몰입, 학습만족, 학업성취에 미치는 효과)

  • Zhang, Jing;Zhu, Hui-Qin;Kim, Bo-Kyeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.633-640
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    • 2021
  • This study analyzes the effects of text and image presenting methods in video lectures on students' learning flow, learning satisfaction and learning outcomes. The text presenting methods include forming short sentences of 2 or 3 words or using key words, while image presenting methods include images featuring both detailed and related information as well as images containing only related information. 167 first year students from Xingtai University were selected as experimental participants. Groups of participants were randomly assigned to engage in four types of video. The research results are as follows. First, it was found that learning flow, learning satisfaction and learning outcomes of group presented with video forms of short sentences had higher statistical significance compared to the group experiencing the key word method. Second, learning flow, learning satisfaction and learning outcomes of group presented with video forms of only related information had higher statistical significance compared to the group experiencing the presenting method of both detailed and related information. That is, the mean values of dependent variables for groups of short form text and only related information were highest. In contrast, the mean values of dependent variables for groups of key words and both detailed and related information were the lowest.

A Spatial Pyramid Matching LDA Model using Sparse Coding for Classification of Sports Scene Images (스포츠 이미지 분류를 위한 희소 부호화 기법을 이용한 공간 피라미드 매칭 LDA 모델)

  • Jeon, Jin;Kim, Munchurl
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.06a
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    • pp.35-36
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    • 2016
  • 본 논문에서는 기존 Bag-of-Visual words (BoW) 접근법에서 반영하지 못한 이미지의 공간 정보를 활용하기 위해서 Spatial Pyramid Matching (SPM) 기법을 Latent Dirichlet Allocation (LDA) 모델에 결합하여 이미지를 분류하는 모델을 제안한다. BoW 접근법은 이미지 패치를 시각적 단어로 변환하여 시각적 단어의 분포로 이미지를 표현하는 기법이며, 기존의 방식이 이미지 패치의 위치정보를 활용하지 못하는 점을 극복하기 위하여 SPM 기법을 도입하는 연구가 진행되어 왔다. 또한 이미지 패치를 정확하게 표현하기 위해서 벡터 양자화 대신 희소 부호화 기법을 이용하여 이미지 패치를 시각적 단어로 변환하였다. 제안하는 모델은 BoW 접근법을 기반으로 위치정보를 활용하는 SPM 을 LDA 모델에 적용하여 시각적 단어의 토픽을 추론함과 동시에 multi-class SVM 분류기를 이용하여 이미지를 분류한다. UIUC 스포츠 데이터를 이용하여 제안하는 모델의 분류 성능을 검증하였다.

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A study on baby face makeup to create a baby face image (동안이미지 연출을 위한 동안 메이크업에 관한 연구)

  • Yong-Shin Kim
    • Journal of the Korean Applied Science and Technology
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    • v.40 no.1
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    • pp.146-159
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    • 2023
  • As a makeup technique for a baby-faced image, there will be a difference in perception of the expression technique of baby-faced makeup according to general matters.' Two hypotheses were supported: 'There will be a difference in perception of the expression technique of baby face makeup depending on the general characteristics', and the makeup technique for creating a baby face image is an important function for both men and women, as well as appearance. As a 'physical resource' for social activities, it was confirmed that there is an improvement in the efficiency of the body and mind and an outstanding improvement in mental ability in daily life. Through the results of the study on 'expression of baby face image makeup', awareness and interest in baby face images are high, but research on the production of baby face images is needed. The need for facial expression elements for baby face makeup is expected to be used as basic data for developing baby face images, and this study focuses on external face management for baby face images and baby face makeup.

Spatial Relation Representation using 2D Array (관계기반 구조를 이용한 공간관계 표현 기법\ulcorner)

  • 황종하;황수찬
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.10a
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    • pp.226-228
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    • 2001
  • 헌재 웹에서는 이미지, 3차원 그래픽 등과 같은 다양한 멀티미디어 자료들이 사용되고 있으며, 이러한 이미지 혹은 3차원 그래픽 안에 존재하는 시각 객체 사이의 공간관계에 대해서 내용기반 검색을 수행하기 위해서는 공간관계를 효율적으로 표현할 수 있는 기법과 이를 위한 검색 기법이 필요하다. 본 논문에서는 시각 객체 사이에 존재하는 공간관계를 효율적으로 표현할 수 있는 기법으로 객체를 MBR로 표현해서 2차원 평면에 투영해서 얻어진 관계기반 구조를 이용해서 공간관계 스트링을 추출할 수 있는 기법을 세안하고 이를 이용한 공간관계 검색에 대해서 설명하였다.

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A study on the expression of colors in 2D animation image : Focusing on the colors of short animation different from the representation of three dimension space (2D 애니메이션 이미지의 색채 표현 연구 : 3차원적 공간 재현을 탈피한 단편 애니메이션의 색채를 중심으로)

  • Oh, Jin-Hee;Kim, Jea-Woong
    • Cartoon and Animation Studies
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    • s.16
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    • pp.113-124
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    • 2009
  • This study shows that there is an essential difference between colors of animation and live action film through the expressive colors of 2D animation as distinct from three dimension space. While live action film has an obvious object of representation, the image of 2D animation is a creature made by human without the process of mechanical representation. And this is revealed sharply in the expressive colors of 2D animation. Therefore the expressive colors of 2D animation are the important points in which the autonomous meaning of animation image is revealed.

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Classification Scheme using Emotional Elements for Abstract Computer-Generated Images (감성 요소에 기반한 추상 CGI의 분류)

  • Seo, Dong-Su;Choi, Min-Young
    • Science of Emotion and Sensibility
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    • v.14 no.2
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    • pp.293-300
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    • 2011
  • The CGI(Computer-generated Image) techniques provide designers with an effective means of creating design artifacts in an automatic way. It has been pointed that two important activities while applying the CGI techniques are both image generation and managemental issues for the generated images. By applying automatic generation techniques for creation of images, designers can acquire benefits in that they can produce free style results in a simple way. Along with such benefits, it is also important for designer to identify and to establish well defined mechanisms for storing vast quantity of auto-generated CGIs. However, it is problematic to assign key-words and to classify abstract images mainly because they lack an analogy of the real world entities. This paper presents classification scheme for the abstract CGIs by applying classification and description criteria from the viewpoint of both design elements and emotional elements. Effective classification and specification can help designers build and retrieve desired images in an easy way, and make management process more simple and effective.

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Sensibility Images of Korean Traditional Motifs Cognized by American College Students (미국대학원이 인지하는 韓國傳統紋樣의 感性이미지)

  • 장수경
    • Journal of the Korean Society of Clothing and Textiles
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    • v.26 no.3_4
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    • pp.402-411
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    • 2002
  • The objective of this study was to investigate sensibility images of Korean traditional motifs cognized by college students in U.S.A. The subjects consisted of 217 male and 351 female undergraduate students. The experimental materials used in this study were 48 stimuli and questionnaires, composed of 7-point semantic differential scales of 15 bipolar adjectives. Twelve motifs selected from 3 groups of Korean motifs were used as motif stimuli. Twelve repeated patterns were constructed from them to be applied on a CAD-simulated dress. The data were analyzed by factor analysis, ANOVA, Duncan's multiple range test. The major finding were as follows: 1. Four dimensions were emerged accounting for the dimensional structure of the images of Korean traditional motifs. These dimensions were ‘quality’, ‘simplicity’, ‘cheerfulnees’, and ‘modernity’. Among them, ‘quality’and ‘simplicity’were the major dimensions. 2. Category, interpretation type, composition type, and application object had significant effects on the images of above-mentioned dimensions. The interpretation type had a significant effect on ‘quality’image, the composition type on ‘cheerful’image, and the application object on ‘modernity’image.

Study on the Image of Blue in Apparel Design (복식에 표현된 청색 이미지의 고찰)

  • 강병희;김영인
    • Archives of design research
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    • no.18
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    • pp.87-96
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    • 1996
  • The purpose of this study is to classify the images of blue based on expressive values communicated by color on symbolic aspects and the blue images expressed in modem apparel fashion. Images of blue are classified through the document studies as follows : The expressive values of blue are cold, receding, and sedative. Based on these values, affimative images of blue are classified infinite, lofty, peaceful, tranquil and contemplate. Negative images are classified sad, indecent, rebellious, and indignant. In apparel fashion, blue acted as a important image factor in classic, workwear, military and marine look. Blue green and purple blue in pale, greyish and light tones were showed as trend color. Meanwhile, purple blues in dark greyish, pale and greyish tones were more used for domestic womens wear.

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