• Title/Summary/Keyword: Eye Image

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A Study on the Characteristics of Visual Perception by eye movement - Through the comparison of original space and Rotated Space - (시선이동에 따른 실내공간의 주시특성에 관한 연구 - 원공간과 전회공간의 비교를 통해 -)

  • Choi, Gae-Young;Kim, Jong-Ha;Lee, Jeong-Ho
    • Korean Institute of Interior Design Journal
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    • v.18 no.4
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    • pp.71-78
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    • 2009
  • This study analyzed the observation characteristics on space by analyzing through the visual perception experiment to the image dates from the original space and the rotated space of it. The results of this study are as fellow as: First, most frequently observed points were, lower end mainly from the center was more observed in the original space while upper end mainly from the center was more observed in the rotated space. Therefore, it is able for us to learn whether the space has the same design, the length of time focusing on one point differentiates as the image rotates. Second, differentiation in observation part, as shown in the case study, can be seen as a consequence of changes in perspective composition. The test indicates that when a design is presented to an observer, the observer's examining point would vary according to where the indoor perspective drawing places a vanishing point. Third, in zones I and II, observation was focused on lower end in the original picture while on the rotated picture there were more focus on the upper end and perpendicularity view of the indoor. Fourth, this study analyzed the mean value of the observation part. As one method wants to see how to change the observation characteristics by rotating the original space, few deviation from the mean value will be interpret to have similar observation characteristics over all even if it has the differences of watching place by rotated space.

Study on the Artifact pattern representation of a method using digital technology (디지털 기술을 이용한 유물의 문양표현 방법에 대한 연구)

  • Koo, Ja-Bong
    • Journal of Digital Contents Society
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    • v.16 no.1
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    • pp.113-121
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    • 2015
  • Artifact pattern representation of a method using the digital technology is largely are two digital rubbing technique and digital contrast technique. Digital rubbing technique is clearly with the naked eye to see the original prestigious and difficult to build a digital rubbing data patterns by scanning a prestigious and patterns carved into the artifacts in three dimensions without compromising the circle to represent the three-dimensional effect by contrast it to the objective value refers to a technique that can be represented in digital. Digital contrast technique can not be calculated if the depth information of the object due to the glassy film of artefacts in a three-dimensional surface scanning and the application of this technique refers to a realistic image mapped digital technique for generating digital image contrast. Digital rubbing technique is mainly useful to express the most prestigious and patterns expressed in pottery or tile and stone monument, etc. engraved or embossed, digital contrast techniques can be used effectively to artifacts such as magnetic or glass can not be applied to the digital rubbing technique.

The Abstraction of Forest Fire Damage Area using Factor Analysis from the Satellite Image Data (위성영상 자료에서 요인분석에 의한 산불 피해 지역 추출)

  • Choi, Seung-Pil;Lee, Suk-Kum;Kim, Dong-Hee
    • Journal of Korean Society for Geospatial Information Science
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    • v.14 no.1 s.35
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    • pp.13-19
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    • 2006
  • When investigating the damage of a forest fire, quite a few are depending on the naked eye observation. However, if the damage spreads to another area, it is easy to use the satellite images because it is hard to reach all the damaged areas on foot. From this research, we did a statistical interpretation of after fire using satellite image data to classify the damage on first and second factor analysis. As a result, it was more easier to classify the river's plants and ridges between rice fields that were in the forest fire damage area in the second observation then the first observation. Also, we could classify the area by areas that were damaged more or less using the second factor analysis. To verify this, we used the forest fire images collected from the satellite images and the actual survey data collected from spectral radiometer to see if these two datawere correlated and as a result we found out that they were highly involved.

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Hardware Architecture and Memory Bandwidth Analysis of AVM System (AVM 시스템의 하드웨어 구현에 따른 하드웨어 구조 및 메모리 대역폭 분석)

  • Nam, Kwnag-Min;Jung, Yong-Jin
    • Journal of IKEEE
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    • v.20 no.3
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    • pp.241-250
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    • 2016
  • AVM(Around View Monitoring) is a function of ADAS(Advanced Driver Assistance Systems), which provides a bird's eye view of the surroundings of a vehicle to the user. AVM systems require large bandwidth since they are composed of four input images and require real-time processing for vehicle-embedded environments. Also, the memory bandwidth requirement increases greatly when the resolution of the input data is higher. In this paper, we propose four basic hardware models of AVM systems. The models are decided by whether or not there is a valid data extraction module and an image processing purpose LUT generation module. We analyze the required bandwidth and hardware resource for each model. For verification of the proposed models, we implemented an AVM system using XC7Z045 FPGA and DDR3 memory for VGA and FHD resolution. All four of the proposed hardware model is executed below 33ms, which shows that it can operate in real-time.

Face Detection Algorithm and Hardware Implementation for Auto Focusing Using Face Features in Skin Regions (AF를 위한 피부색 영역의 얼굴 특징을 이용한 Face Detection 알고리즘 및 하드웨어 구현)

  • Jeong, Hyo-Won;Kwak, Boo-Dong;Ha, Joo-Young;Han, Hag-Yong;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.12
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    • pp.2547-2554
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    • 2009
  • In this paper, we proposed a face detection algorithm and a hardware implementation method for ROI(Region Of Interest) of AF(Auto Focusing). We used face features in skin regions of YCbCr color space for face detection. The face features are the number of skin pixels in face regions, edge pixels in eye regions, and shadow pixels in lip regions. The each feature was statistically selected by 2,000 sample pictures of face. The proposed algorithm detects two faces that are closer center of the image for considering the effectiveness of hardware resource. The detected faces are displayed by rectangle for ROI of AF, and the rectangles are represented by positions in the image about starting point and ending point of the rectangles. The proposed face detection method was verified by using FPGA boards and mobile phone camera sensor.

Image Enhancement Using Human Visual Perception (인간 시각의 인지 특성을 이용한 영상 화질 향상 방법)

  • Bang, Seangbae;Kim, Wonha
    • Journal of Broadcast Engineering
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    • v.23 no.2
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    • pp.206-217
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    • 2018
  • We develop the signal processing method for adaptive implementing direction of signal and the frequency sensitivity of human visual system(HVS). Existing multiband energy scaling method makes ringing artifact because it does not consider signal direction. To solve this problem, we use block gradient for signal direction in addition to existing method. And we use the fact that frequency component of signal is more sensitive than value of signal over human eyes. we enhance the signal according to contrast sensitivity function(CSF) which is the model of frequency sensitivity of human eye. Compared that the existing analysis models only improve the efficiencies in the existing systems, the developed method can process the image signals to be more desirable and suitable to HVS.

New feature and SVM based advanced classification of Computer Graphics and Photographic Images (노이즈 기반의 새로운 피쳐(feature)와 SVM에 기반한 개선된 CG(Computer Graphics) 및 PI(Photographic Images) 판별 방법)

  • Jeong, DooWon;Chung, Hyunji;Hong, Ilyoung;Lee, Sangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.2
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    • pp.311-318
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    • 2014
  • As modern computer graphics technology has been developed, it is hard to discriminate computer graphics from photographic images with the naked eye. Advances in graphics technology has brought a lot of convenience to human, it has side effects such as image forgery, malicious edit and fraudulent means. In order to cope with such problems, studies of various algorithms using a feature that represents a characteristic of an image has been processed. In this paper, we verify directly the existing algorithm, and provide new features based a noise that represents the characteristics of the computer graphics well. And this paper introduces the method of using SVM(Support Vector Machine) with features proposed in previous research to improve the discrimination accuracy.

A Study on Fusionization of Woman Characters in Fusion Traditional Drama (사극드라마의 여자캐릭터의 분장특성 연구)

  • Kim, Yu-Gyoung;Cho, Ji-Na
    • Journal of Fashion Business
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    • v.13 no.4
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    • pp.60-76
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    • 2009
  • Expression of woman characters in fusion traditional dramas plays a role of making the progress of dramas not bigoted and new. Especially, woman characters have a high weight as a heroine by an increase in their image in fusion traditional dramas. Expression of characters harmonizing modern with tradition has also given a help in reflecting a trend of the present times. Hair style and face makeup of woman characters in fusion traditional dramas are in the process of fusionization getting an effect from postmodernism. They are expressing the hair style of symbolization modern elements of hair style to traditional hair styles. They also expressed a neutral image with faded hair styles in the shaggy cut style and dye of neoplaticism. Neo-hippie style was changed into the style of naturalism and nationalism and the hair style braided in various branches as the one of Indians was changed into a primitive and national feature. It is producing a new style by permitting even a long-hair permanent wave hair style. Expression of straight hair style, a long-hair shaggy & bulging wave style and a hair style of neoplaticism, was distinguished. In the side of face makeup, they expressed its luxurious and splendid style by attaching great importance to its luster and are exposing images of characters by a smoky makeup emphasizing eye lines. Their face makeup was almost never separated from present dramas as using pearl shadow in a glossy lips makeup and color, which made it possible to express it more dramatically in fusion traditional dramas than in present dramas. In the event of the makeup element of fusion traditional dramas permitting diversity, the character makeup of fusion traditional dramas made a foundation to show people diverse elements of makeup by mix & match a present elements and past elements of historical research, which made it possible to express a unique makeup or a special makeup. Diverse makeup expressions were limited by reflection of illumination even in the existing videos. Therefore, 'Fusion' made it possible to express it more freely in fusion traditional dramas than in present dramas.

Novel Auto White Balance Algorithm Using Adaptive Color Sampling Based on $CIEL^*a^*b^*$ color space for Mobile Phone Camera ($CIEL^*a^*b^*$ 색 공간에서 적응적 컬러 샘플링을 이용한 Mobile Phone 카메라용 자동화이트 밸런스 알고리즘)

  • Kim, Kyung-Rin;Son, Kyoung-Soo;Ha, Joo-Young;Kim, Sang-Choon;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.8
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    • pp.1356-1362
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    • 2008
  • In this paper. we propose a novel auto white balance algorithm which is one of the representative functions on cameras. White balance is the process of removing unrealistic color casts, which will make the captured white objects appear white. For white balance, we employ $CIEL^*a^*b^*$ color space which is the most complete color model available and is conventionally used to describe all the colors visible to the human eye and estimate the color difference on white objects with distribution of the image which is called the reference white estimation. For accuracy, we form groups or sets of pixels that are altered by the light sources and other elements. Moreover, Standard group is decided by judgment of specific-case images with the information of groups. Then, the reference white estimation is performed by the color sampling which is to choose all the accumulated pixels contained within the standard group. The color gain for image compensation by considering the color saturation is also computed. the proposed algorithm provides a significant performance.

Feature Extraction of Molecular Images by DWT (DWT에 의한 분자영상의 특징 추출)

  • Choi, Guirack;Ahng, Byungju;Lee, Sangbock
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.12
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    • pp.21-26
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    • 2013
  • In this paper, We are suggested methods of feature extraction in molecular images. The result of image transform DWT examination by suggested method, we are obtained as follows. 1-level and 2-levels of decomposition results showed the composition of the low frequency region. But, 3-level decomposition results did not appear in the data component is almost. Observed not with the naked eye is not, but the 3-level output data values of the results were decomposed. We are printed the horizontal and vertical directions of low-frequency region of the data, the high frequency region of the horizontal and vertical data, and diagonal high frequency region of the horizontal and vertical directions data. If the output data using molecular imaging and CT, PET, MR imaging will be compared with the data.