• Journal of the Institute of Electronics and Information Engineers
• /
• v.50 no.10
• /
• pp.142-149
• /
• 2013

In general, a color of an image is represented by using red, green, and blue channels in a RGB camera system. However, only information of three channels are limited to estimate a spectral reflectance of a real scene. Because of this, the RGB camera system can not accurately represent the color. To overcome this limitation and represent an accurate color, researches to estimate the spectral reflectance by using a multi-channel camera system are being actively proceeded. Recently, a reflectance estimation method adaptively constructing a similar training set from a traditional training set according to a camera response by using a spectral similarity was introduced. However, in this method, an accuracy of the similar training set is reduced because the spectral similarity based on an average and a maximum distances was applied. In this paper, a reflectance estimation method applied a spectral similarity based on a correlation coefficient is proposed to improve the accuracy of the similar training set. Firstly, the correlation coefficient between the similar training set and the spectral reflectance obtained by Wiener estimation method is calculated. Secondly, the similar training set is constructed from the traditional training set according to the correlation coefficient. Finally, Wiener estimation method applied the similar training set is performed to estimate the spectral reflectance. To evaluate a performance of the proposed method with previous methods, experimental results are compared. As a result, the proposed method showed the best performance.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.47 no.1
• /
• pp.9-16
• /
• 2010

Moving object detection is to detect foreground object different from background scene in a new incoming image frame and is an essential ingredient process in some image processing applications such as intelligent visual surveillance, HCI, object-based video compression and etc. Most of previous object detection algorithms are still computationally heavy so that it is difficult to develop real-time multi-channel moving object detection in a workstation or even one-channel real-time moving object detection in an embedded system using them. Foreground mask correction necessary for a more precise object detection is usually accomplished using morphological operations like opening and closing. Morphological operations are not computationally cheap and moreover, they are difficult to be rendered to run simultaneously with the subsequent connected component labeling routine since they need quite different type of processing from what the connected component labeling does. In this paper, we first devise a fast and precise foreground mask correction algorithm, "Neighbor Foreground Pixel Propagation (NFPP)" which utilizes neighbor pixel checking employed in the connected component labeling. Next, we propose a novel moving object detection method based on the devised foreground mask correction algorithm, NFPP where the connected component labeling routine can be executed simultaneously with the foreground mask correction. Through experiments, it is verified that the proposed moving object detection method shows more precise object detection and more than 4 times faster processing speed for a image frame and videos in the given the experiments than the previous moving object detection method using morphological operations.

• Cartoon and Animation Studies
• /
• s.36
• /
• pp.325-347
• /
• 2014

"The art challenges the technology, and the technology inspires the art." By this word John Lasseter expressed Pixar animations main soul of story. Media technology has a close relation with the animation. As media developed more and more, an animation has been widen a lot and have given new visions to the audiences. We can see such this figure from the history of the Disney animation. They had tried to make all the kind of animations such a silent animation, planetary animation, black and white animation and the multi colored animation. Lately Disney had made animation that has traditional style. But the method of making traditional animation stable side story's holdup the audience. So Disney animation decided to change this method. For the result of Disney animation studio effort Frozen had produced after a computer graphics work following Rapunzel. What was the reason for entertain well of Frozen? Not only changing the method of producing traditional to computer graphic is could not make entertain well. We can see from the Frozen concordance of the original idea and modern scenario, OST the perfection of computer graphics work. In this paper work Disney animation has worked from the silent animation to computer graphic works result of "The Frozen". For the contribution of technology development makes able to analyze animations expression and relation. There is a lot shots that hard to analyze in the Frozen. But I will study it with the method named "Expansion in space" to making main analyzing expressive extension that appears on the scene.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2009.10a
• /
• pp.581-584
• /
• 2009

Recently, the cameras which used for observation are installed in children protection area and local crime prevention area in order to protect life and property and by its work being recognized and are installed more. Normal cameras have cost problem to observe multiple area and detail, because they can observe only one place. PTZ camera can observe multiple area by moving focus by schedule or remote control, but it can't automatically move the focus of it to the place where event occurred, because it can't recognize the place. In this study, we can monitor multiple area effectively, by installing a wireless sensor node equipped with temperature, lighting, gas and human detection sensor to each area, to monitor many place low-price and actively and to move the focus of PTZ camera to preset position, and send recorded video to the user, when the various sensor data received from wireless sensors in observation area are to be determined abnormal by analyzing. In addition, at night we can record a scene using infrared, but to reduce power consumption of lighting system which are installed to improve resolution, it supplies power to the lighting system when event occurred. So we were able to implement low power green monitoring system.

• Korean Journal of Heritage: History & Science
• /
• v.55 no.4
• /
• pp.212-240
• /
• 2022

This study is a multi-layered exploration of 「The Thirty-Six Scenery of Seongdeok Summer Mountain Resort(承德避暑山莊三十六景)」 (The 36th view of Kangxi) recited by Emperor Kangxi of China through literature study, ancient calligraphy diagrams, and field studies. The conclusion of tracing the landscape characteristics and implications contained in 「The 36th view of Kangxi」 through the analysis of the headword(標題語) and the interpretation of the Jeyeong poem(題詠詩) is as follows. 「The 36th view of Kangxi」 is an extension of the outer edge of the Eight Sceneries, and when compared to the existing Eight Sceneries peom and Eight Sceneries painting, it is found that the landscape is centered on the 'viewpoint' rather than the landscape object. In particular, it aimed to create a structured landscape centered on nine types of buildings represented by 'Jeon(殿)' and 'Jeong(亭)' was given. In particular, Yeouiju, located in Lake district, is a scenic country endowed with the character of a gardens in Garden, which is composed by collecting famous representative Chinese landscapes and landscapes of Sansu-si and Sanshu Painting. As a result of headword analysis to understand the characteristics of landscape components, 14 landscapes (38.9%) related to water elements and 13 landscapes(36.1%) related to mountain elements, the elements related to architecture and civil engineering were classified in the order of 3 cases(8.3%), and the elements related to the skylight were classified in the order of 2 cases(5.6%). However, in Jeyeong-si, the mention of landscape vocabulary for climate elements was overwhelming. In other words, in the poems of 「The 36th Scenery of Kangxi」, scenery vocabulary symbolizing 'coolness' such as 雲(cloud), 水(water), 泉(spring), 清(clear), 波(wave), 流(wave), 風(wind) and 無暑(without heat), etc. It is not a coincidence that it appears, and it is strongly attached to the sense of place of Summer Mountain Resort in Rehe(熱河). Among the 23 landscapes whose seasonal background was confirmed, the fact that the lower landscape is portrayed as the majority and the climate elements of the resort area are portrayed in three-dimensional and multi-dimensional ways are closely related to the period of enjoying the gardens of Kangxi, the main subject of the landscape. In addition, many animal and plant landscapes appearing in Jeyeong-si appear to be in the same context as the spatial attributes of not only recreation, but also contemplation and hunting. On the other hand, in Jeyeongsi, there are 33 wonders(91.7%) citing famous people and famous books through ancient poems, old stories, and ancient stories tends to be prominent. It is inferred that this was based on Kangxi's understanding and pride in traditional Chinese culture. In 「The 36th view of Kangxi」, not only a book-writing description of the feelings of being entrusted to the family sutras, but also the spirit of patriotism, love, self-discipline and respect for mother and filial piety are strongly implied. Ultimately, 「The 36th view of Kangxi」 shows the real scene of the resort, as well as the spiritual dimension, in a multi-faceted and three-dimensional way, and the spirit of an emperor based on the dignity of the royal family and the sentiments of a writer it deserves to be called a collection of imperial records that were intended to reveal.

• Cartoon and Animation Studies
• /
• s.33
• /
• pp.31-53
• /
• 2013

In the early twentieth century, history of animation began by modern artists, they produced various experimental images with the newly invented film and cameras. Artists in the field of movie, photography, paintings and others manipulated images in motion. But as some animated movies won industrial success and popularity, they became the trend but experimental style of early animation preserved by so-called non-mainstreamers or experimental animators, counteracting commercialism. Disney animation also followed the trend by applying realistic Hollywood film style, the worse critics placed a low value on the animation and it tarnished the image, although it was profitable investment from a business standpoint. To make images realistic, they opened a drawing class that animators developed skills to imitate motions and forms from subjects in real life. Also some techniques and gizmos were used to mimic and simulate three dimensional objects and spaces, multiplane camera and compositing 3D CG images with 2D drawings. Moreover, they brought animation stories from fairly tales or folk tales, and Walt's personal interest in live-action movies, they applied Hollywood-film-like narratives and realistic visual, and harsh criticism ensued. On the surface early disney animations' potential seems to be weakened, but in reality it still exists by simplifying and exaggerating forms and color as modern arts. Disney animation employs concepts of the modernism paintings such as simplified shapes and colors to a character design, when their characters are placed together in a scene, that visual elements cause mental reaction. This modification gives a new internal experience to audiences. As conceptual colors in abstract paintings make images appeared to be flat, coloring characters with no shading make them look flat and comparing to them, background images are also appeared to be flat. On top of that, multi-perspective at background images recalls modernist paintings. This essay goes in details with the animation pioneers' works and how Disney animation developed its techniques to emulate real life and analyses color schemes, forms, and spaces in Disney animation compared with modern artists' works, in that the visual language of Disney animation reminds of impression from abstract paintings in the beginning of the twentieth centuries.

• Korean Journal of Remote Sensing
• /
• v.30 no.2
• /
• pp.275-292
• /
• 2014

The objective of this study is to determine Tasseled Cap Transformation (TCT) coefficients for the Geostationary Ocean Color Imager (GOCI). TCT is traditional method of analyzing the characteristics of the land area from multi spectral sensor data. TCT coefficients for a new sensor must be estimated individually because of different sensor characteristics of each sensor. Although the primary objective of the GOCI is for ocean color study, one half of the scene covers land area with typical land observing channels in Visible-Near InfraRed (VNIR). The GOCI has a unique capability to acquire eight scenes per day. This advantage of high temporal resolution can be utilized for detecting daily variation of land surface. The GOCI TCT offers a great potential for application in near-real time analysis and interpretation of land cover characteristics. TCT generally represents information of "Brightness", "Greenness" and "Wetness". However, in the case of the GOCI is not able to provide "Wetness" due to lack of ShortWave InfraRed (SWIR) band. To maximize the utilization of high temporal resolution, "Wetness" should be provided. In order to obtain "Wetness", the linear regression method was used to align the GOCI Principal Component Analysis (PCA) space with the MODIS TCT space. The GOCI TCT coefficients obtained by this method have different values according to observation time due to the characteristics of geostationary earth orbit. To examine these differences, the correlation between the GOCI TCT and the MODIS TCT were compared. As a result, while the GOCI TCT coefficients of "Brightness" and "Greenness" were selected at 4h, the GOCI TCT coefficient of "Wetness" was selected at 2h. To assess the adequacy of the resulting GOCI TCT coefficients, the GOCI TCT data were compared to the MODIS TCT image and several land parameters. The land cover classification of the GOCI TCT image was expressed more precisely than the MODIS TCT image. The distribution of land cover classification of the GOCI TCT space showed meaningful results. Also, "Brightness", "Greenness", and "Wetness" of the GOCI TCT data showed a relatively high correlation with Albedo ($R^2$ = 0.75), Normalized Difference Vegetation Index (NDVI) ($R^2$ = 0.97), and Normalized Difference Moisture Index (NDMI) ($R^2$ = 0.77), respectively. These results indicate the suitability of the GOCI TCT coefficients.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.45 no.3
• /
• pp.66-79
• /
• 2017

In 2014, a Donghak Peasant Revolution Memorial Park design competition was held with various forms and techniques to convey mourning. This is a process of the reconsideration of memorial projects that are used to stimulate the collective memory and it is a meaningful resource for examining the consciousness of contemporary designers in regards to the memorial designs that are currently under planning in Korea. This study investigated the background of the Donghak commemorative projects that took place at the same site in a timely manner and analyzed the design competition through the existing literature research. Through this, it was seen that the memorial, which was formed by means of past political purposes, has changed into a way to collect various opinions and forms through open design competition. A framework of analysis prepared through multi-layer analysis is daily use, interaction and spontaneity, abstraction, temporality, locality, integration and harmony with surroundings. The results of this study are as follows. First, in order to convey memorial commemoration in everyday life, the projects organized scattered memorial spaces with special characteristics and linked them with daily activities program. Second, the projects used direct participation and emotional experiences to interact with monuments. Third, color, vertical elements, clustering, and park frame manipulation were used for abstract reproduction. Fourth, the projects introduce architecture and furniture that can be changed and plants for temporal change. Fifth, the previous terrain was restored and the setting of the scene was reproduced in order to make the site a space with place. Sixth, to improve the connection with existing monuments, the projects used techniques such as relaxation and the reinforcement of circulation lines and axes. Seventh, a path and a building conforming to the terrain were arranged for harmony with the surroundings.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.42 no.4 s.304
• /
• pp.1-12
• /
• 2005

Image registration is a process to establish the spatial correspondence between images of the same scene, which are acquired at different view points, at different times, or by different sensors. This paper presents a new algorithm for robust registration of the images acquired by multiple sensors having different modalities; the EO (electro-optic) and IR(infrared) ones in the paper. The two feature-based and intensity-based approaches are usually possible for image registration. In the former selection of accurate common features is crucial for high performance, but features in the EO image are often not the same as those in the R image. Hence, this approach is inadequate to register the E0/IR images. In the latter normalized mutual Information (nHr) has been widely used as a similarity measure due to its high accuracy and robustness, and NMI-based image registration methods assume that statistical correlation between two images should be global. Unfortunately, since we find out that EO and IR images don't often satisfy this assumption, registration accuracy is not high enough to apply to some applications. In this paper, we propose a two-stage NMI-based registration method based on the analysis of statistical correlation between E0/1R images. In the first stage, for robust registration, we propose two preprocessing schemes: extraction of statistically correlated regions (ESCR) and enhancement of statistical correlation by filtering (ESCF). For each image, ESCR automatically extracts the regions that are highly correlated to the corresponding regions in the other image. And ESCF adaptively filters out each image to enhance statistical correlation between them. In the second stage, two output images are registered by using NMI-based algorithm. The proposed method provides prospective results for various E0/1R sensor image pairs in terms of accuracy, robustness, and speed.