• Title/Summary/Keyword: 텍스처 합성

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Quality Characteristics of Korean Rice Cakes (Karedduk) with a Mixture of Fructooligosaccharide and Modified Starch (프락토올리고당과 변성전분 혼합사용 떡의 품질 특성)

  • Chung, Hae Young
    • Culinary science and hospitality research
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    • v.21 no.4
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    • pp.145-154
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    • 2015
  • The quality characteristics of Korean rice cakes (Karedduk) with a mixture of fructooligosaccharide (95%) and AA (acetylated adipate distarch) added, after 2 and 24 hours of storage at $5^{\circ}C$, were investigated. A central composite design was used for arrangement of treatment. Different levels of fructooligosaccharide (95%), 0, 3, 6, 9, and 12%, were added to dry rice flour. In addition, different levels of AA, 0, 0.3, 0.6, 0.9, and 1.2%, were added to the same dry rice flour. The texture properties analysis using a Texture Analyzer revealed that the springiness, cohesiveness, chewiness, gumminess, adhesiveness, and hardness were significantly different. The effect of retarding retrogradation of Korean rice cakes (Karedduk) with added mixtures of fructooligosaccharide (95%) and AA showed an increasing trend as the amount of fructooligosaccharide (95%) and AA increased. Overall, the instrumental texture properties were highly correlated with the sensory characteristics. These results suggest that adding a mixture of 6% fructooligosaccharide (95%) and 1.2% AA to Korean rice cakes (Karedduk) is effective for retarding retrogradation.

Synthesis of Realistic Facial Expression using a Nonlinear Model for Skin Color Change (비선형 피부색 변화 모델을 이용한 실감적인 표정 합성)

  • Lee Jeong-Ho;Park Hyun;Moon Young-Shik
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.06a
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    • pp.121-123
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    • 2006
  • 얼굴의 표정은 얼굴의 구성요소 같은 기하학적 정보와 조명이나 주름 같은 세부적인 정보들로 표현된다. 얼굴 표정은 기하학적 변형만으로는 실감적인 표정을 생성하기 힘들기 때문에 기하학적 변형과 더불어 텍스쳐 같은 세부적인 정보도 함께 변형해야만 실감적인 표현을 할 수 있다. 표정비율이미지 (Expression Ratio Image)같은 얼굴 텍스처의 세부적인 정보를 변형하기 위한 기존 방법들은 조명에 따른 피부색의 변화를 정확히 표현할 수 없는 단점이 있다. 따라서 본 논문에서는 이러한 문제를 해결하기 위해 서로 다른 조명 조건에서도 실감적인 표정 텍스처 정보를 적용할 수 있는 비선형 피부색 모델 기반의 표정 합성 방법을 제안한다. 제안된 방법은 동적 외양 모델을 이용한 자동적인 얼굴 특징 추출과 와핑을 통한 표정 변형 단계, 비선형 피부색 변화 모델을 이용한 표정 생성 단계, Euclidean Distance Transform (EDT)에 의해 계산된 혼합 비율을 사용한 원본 얼굴 영상과 생성된 표정의 합성 등 총 3 단계로 구성된다. 실험결과는 제안된 방법이 다양한 조명조건에서도 자연스럽고 실감적인 표정을 표현한다는 것을 보인다.

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Texture and Descriptive Sensory Characteristics of Korean Rice Cakes (Karedduk) with a Mixture of Fructooligosaccharide and Emulsifier (프락토올리고당과 유화제 혼합사용 가래떡의 텍스처와 관능적 묘사 특성)

  • Kim, Sang-Sook;Chung, Hae-Young
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.41 no.6
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    • pp.823-828
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    • 2012
  • Texture and descriptive sensory characteristics of a Korean rice cake (Karedduk) with added mixtures of fructooligosaccharide (95%) and emulsifier, Sodium Stearoyl Lactylate-90 (SSL-90), were investigated after 2 and 24 hr of storage at $5^{\circ}C$. A central composite design was used for the arrangement of treatment. Different levels of fructooligosaccharide (95%), 0, 3, 6, 9, and 12%, were added to dry rice flour. Also, different levels of emulsifier, 0, 0.3, 0.6, 0.9, and 1.2%, were added to the same dry rice flour. The texture properties analysis using a Texture Analyzer revealed that the chewiness, gumminess, and hardness were significantly different. The effect of retarding retrogradation of Korean rice cakes (Karedduk) with added mixtures of fructooligosaccharide (95%) and SSL-90 showed an increasing trend as the amount of fructooligosaccharide (95%) increased. Overall, the instrumental texture properties were highly correlated with the sensory characteristics. The results suggested that Korean rice cakes (Karedduk) with the addition of a mixture of fructooligosaccharide (95%) and SSL-90 can be made from the mixture of 9% fructooligosaccharide (95%) and 0.9% SSL-90 in order to retard starch retrogradation.

A Depth-based Disocclusion Filling Method for Virtual Viewpoint Image Synthesis (가상 시점 영상 합성을 위한 깊이 기반 가려짐 영역 메움법)

  • Ahn, Il-Koo;Kim, Chang-Ick
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.6
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    • pp.48-60
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    • 2011
  • Nowadays, the 3D community is actively researching on 3D imaging and free-viewpoint video (FVV). The free-viewpoint rendering in multi-view video, virtually move through the scenes in order to create different viewpoints, has become a popular topic in 3D research that can lead to various applications. However, there are restrictions of cost-effectiveness and occupying large bandwidth in video transmission. An alternative to solve this problem is to generate virtual views using a single texture image and a corresponding depth image. A critical issue on generating virtual views is that the regions occluded by the foreground (FG) objects in the original views may become visible in the synthesized views. Filling this disocclusions (holes) in a visually plausible manner determines the quality of synthesis results. In this paper, a new approach for handling disocclusions using depth based inpainting algorithm in synthesized views is presented. Patch based non-parametric texture synthesis which shows excellent performance has two critical elements: determining where to fill first and determining what patch to be copied. In this work, a noise-robust filling priority using the structure tensor of Hessian matrix is proposed. Moreover, a patch matching algorithm excluding foreground region using depth map and considering epipolar line is proposed. Superiority of the proposed method over the existing methods is proved by comparing the experimental results.

Image Denoising Via Structure-Aware Deep Convolutional Neural Networks (구조 인식 심층 합성곱 신경망 기반의 영상 잡음 제거)

  • Park, Gi-Tae;Son, Chang-Hwan
    • The Journal of Korean Institute of Information Technology
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    • v.16 no.11
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    • pp.85-95
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    • 2018
  • With the popularity of smartphones, most peoples have been using mobile cameras to capture photographs. However, due to insufficient amount of lights in a low lighting condition, unwanted noises can be generated during image acquisition. To remove the noise, a method of using deep convolutional neural networks is introduced. However, this method still lacks the ability to describe textures and edges, even though it has made significant progress in terms of visual quality performance. Therefore, in this paper, the HOG (Histogram of Oriented Gradients) images that contain information about edge orientations are used. More specifically, a method of learning deep convolutional neural networks is proposed by stacking noise and HOG images into an input tensor. Experiment results confirm that the proposed method not only can obtain excellent result in visual quality evaluations, compared to conventional methods, but also enable textures and edges to be improved visually.

Synthesis of Realistic Facial Expression using a Nonlinear Model for Skin Color Change (비선형 피부색 변화 모델을 이용한 실감적인 표정 합성)

  • Lee Jeong-Ho;Park Hyun;Moon Young-Shik
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.43 no.3 s.309
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    • pp.67-75
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    • 2006
  • Facial expressions exhibit not only facial feature motions, but also subtle changes in illumination and appearance. Since it is difficult to generate realistic facial expressions by using only geometric deformations, detailed features such as textures should also be deformed to achieve more realistic expression. The existing methods such as the expression ratio image have drawbacks, in that detailed changes of complexion by lighting can not be generated properly. In this paper, we propose a nonlinear model for skin color change and a model-based synthesis method for facial expression that can apply realistic expression details under different lighting conditions. The proposed method is composed of the following three steps; automatic extraction of facial features using active appearance model and geometric deformation of expression using warping, generation of facial expression using a model for nonlinear skin color change, and synthesis of original face with generated expression using a blending ratio that is computed by the Euclidean distance transform. Experimental results show that the proposed method generate realistic facial expressions under various lighting conditions.

Analysis and Synthesis of Structural Textures Using Projection Information (투사정보를 이용한 구조적 텍스처의 분석 및 합성)

  • 김한빈;박래홍
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.9
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    • pp.1428-1435
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    • 1989
  • In this paper we propose a new algorithm which extracts spatial arrangement information of texture elements in structural textures. In the proposed algorithm, by the use of projection information in several directions obtained from the texture image we can get two directions which determine the texture structure and the parallelogram grid which isolates texture elements. The isolated texture elements are analyzed and used to synthesize texture images. Computer simulation shows that the proposed method can extract proper spatial structure of the texture element even when the texture image is highly corrupted by additive noise.

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Appearance Information Extraction and Shading for Realistic Caricature Generation (실사형 캐리커처 생성을 위한 형태 정보 추출 및 음영 함성)

  • Park, Yeon-Chool;Oh, Hae-Seok
    • The KIPS Transactions:PartB
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    • v.11B no.3
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    • pp.257-266
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    • 2004
  • This paper proposes caricature generation system that uses shading mechanism that extracts textural features of face. Using this method, we can get more realistic caricature. Since this system If vector-based, the generated character's face has no size limit and constraint. so it is available to transform the shape freely and to apply various facial expressions to 2D face. Moreover, owing to the vector file's advantage, It can be used in mobile environment as small file size This paper presents methods that generate vector-based face, create shade and synthesize the shade with the vector face.

The Optimization of Jelly with Blueberry Juice using Response Surface Methodology (반응표면분석법을 이용한 블루베리 즙 첨가 젤리의 최적화)

  • Joo, Na-Mi;Kim, Bo-Ram;Kim, Ae-Jung
    • The Korean Journal of Food And Nutrition
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    • v.25 no.1
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    • pp.17-25
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    • 2012
  • 이 연구는 블루베리 즙을 첨가하여 젤리의 제조조건을 최적화하고자 하였다. 16개의 블루베리 즙을 이용한 젤 시료는 Design Expert 프로그램을 이용하여 제조하였으며, 최적화를 위해 블루베리 즙(100~200 g), 설탕(40~160 g), 젤라틴(8~20 g)의 양을 독립변수로, 텍스처, pH, 관능평가 항목을 종속변수로 각각 선정하였다. 반응표면 분석법을 사용하기 위한 실험설계로 중심합성계획을 이용하였다. 각 항목별 최적조건은 Canonical 모형의 수치 최적화(numerical optimization)과 모형적 최적화(graphical optimization)를 통하여 선정하였으며, 그 중 가장 높은 desirability를 갖는 최적점을 선택하여 지점 예측(point prediction)을 통해 도출한 결과, 각 독립변수의 예측된 블루베리 즙을 첨가한 젤리의 최적값은 블루베리 주스 133.63 g, 설탕 160.0 g, 젤라틴은 12.78 g이었다.

Synthesizing Faces of Animation Characters Using a 3D Model (3차원 모델을 사용한 애니메이션 캐릭터 얼굴의 합성)

  • Jang, Seok-Woo;Kim, Gye-Young
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.8
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    • pp.31-40
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    • 2012
  • In this paper, we propose a method of synthesizing faces of a user and an animation character using a 3D face model. The suggested method first receives two orthogonal 2D face images and extracts major features of the face through the template snake. It then generates a user-customized 3D face model by adjusting a generalized face model using the extracted facial features and by mapping texture maps obtained from two input images to the 3D face model. Finally, it generates a user-customized animation character by synthesizing the generated 3D model to an animation character reflecting the position, size, facial expressions, and rotational information of the character. Experimental results show some results to verify the performance of the suggested algorithm. We expect that our method will be useful to various applications such as games and animation movies.