• Korean Institute of Interior Design Journal
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• v.15 no.1 s.54
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• pp.63-70
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• 2006

This study investigates and analyzes natural traits in Gaudi's architectural designs on the assumption that the naturalism in his architectural designs has been built heavily on regional cultural background. In particular, focusing on four buildings Gaudi designed in his late years, this study distinguishes between natural traits found in ornaments and details, and natural traits as organic expression of form. This study shows, first, with regard to natural traits in ornaments and details, organic motives were applied to patterns, plastic objects, and parts of the building. Second, natural traits in organic expression of form were reflected by typifying $Catalu\tilde{n}a$ regional nature, using curved lines of organic shapes and realizing lively natural creatures. It is remarkable that Gaudi developed his architectural designs as unique magic naturalism based on his imagination. And In this century 'Regional Culture' gets more important in architectural designs. Gaudi's architectural works can be appreciated to represent very well $Catalu\tilde{n}a$ regional cultural identity by using properly its natural motives and objects.

• Proceedings of the KSMRM Conference
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• 2002.11a
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• pp.108-108
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• 2002

Purpose： We had hypothesized that the perceiving green related (more natural like forest, woods etc.) objects causes more emotional cue or salience than non-green related objects. Method： Six subjects participated the study. We used a classical block or box car design for the MRI experiment. Six green related and six non-green related pictures were presented 2 sec each as one block. As baseline T and ㅗ shapes were presented in the same fashion as one block.

• Korean Journal of Computational Design and Engineering
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• v.16 no.4
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• pp.277-284
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• 2011

In tangible augmented reality (AR) environments for virtual prototyping, the user interacts with virtual products by manipulating tangible objects with his or her hands, but the user often encounter awkward situations in which his or her hands are occluded by augmented virtual objects, which reduces both immersion and ease of interaction. In this paper, we present how to resolve such hand region occlusion in order to enhance natural interaction and immersive visualization. In the AR environment considered, we use two types (product-type and pointer-type) of tangible objects for tangible user interaction with a virtual product of interest. Holding the tangible objects with his or her hands, the user can create input events by touching specified regions of the product-type tangible object with the pointer-type tangible object. We developed a method for resolving hand region occlusion frequently arising during such user interaction, It first detect hand region in a real image and refines the rendered image of the virtual object by subtracting the hand region from the rendered image, Then, it superimposes the refined image onto the real image to obtain an image in which the occlusion is resolved. Incorporated into tangible AR interaction for virtual prototyping of handheld products such as cellular phones and MP3 players, the method has been found by a preliminary user study that it is not only useful to improve natural interaction and immersive visualization of virtual products, but also helpful for making the users experience the products' shapes and functions better.

• Journal of Information Processing Systems
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• v.9 no.4
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• pp.592-601
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• 2013

Object segmentation is a challenging task in image processing and computer vision. In this paper, we present a visual attention based segmentation method to segment small sized interesting objects in natural images. Different from the traditional methods, we first search the region of interest by using our novel saliency-based method, which is mainly based on band-pass filtering, to obtain the appropriate frequency. Secondly, we applied the Gaussian Mixture Model (GMM) to locate the object region. By incorporating the visual attention analysis into object segmentation, our proposed approach is able to narrow the search region for object segmentation, so that the accuracy is increased and the computational complexity is reduced. The experimental results indicate that our proposed approach is efficient for object segmentation in natural images, especially for small objects. Our proposed method significantly outperforms traditional GMM based segmentation.

• The KIPS Transactions:PartB
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• v.10B no.7
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• pp.785-794
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• 2003

Computer simulation of natural phenomena has been inclined to graphic processing for visual reality. This negligence of cosmic causalities in their occurrence and natural laws in their development should lead to limited degree of immersion to the users. We attempt to develop a logical framework for authentic simulation of diverse, unpredictable occurrence and development of natural phenomena (such as solar radiation and wind) based on their associated inherent laws and principles. To this end we structure the relevant objects organized in an ontology and propose a data management method. Then we describe our simulation method for the natural phenomena as delimited in phases and present modeling techniques for qualitative changes of physical objects due to their factors' values beyond normal ranges.

• The Journal of the Korea Contents Association
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• v.7 no.9
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• pp.108-116
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• 2007

Nowadays, many graphic researchers are interested in 3D outdoor environment. They want to express more realistic natural background with natural phenomenon because computer hardware has become more powerful and increased a demand for a background of 3D natural environment in a content. Especially, e-sports contents and simulation contents with outdoor environment need more natural environment for a background than indoor contents. It is very important technology for a quality of 3D outdoor contents. We propose a software EMtool(Environment Making Tool) for authoring of natural environment for realistic contents. EMtool has been developed to depict relationship and interaction between natural phenomena and include methods for creating natural environment and natural objects. The proposed results are applied to real-time 3D contents such as 3D golf games and simulations for natural objects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.566-572
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• 2021

A methodology for the identification and coordinates estimation of air cavities under urban ground or sandy soil using its natural poles and natural resonant frequencies is presented. The potential of this methodology was analyzed. Simulation models of PEC (Perfect Electric Conductor)s with various shapes and dimensions were developed using an EM (Electromagnetic) simulator. The Cauchy method was applied to the obtained EM scattering response of various objects from EM simulation models. The natural poles of objects corresponding to its instinct characterization were then extracted. Thus, a library of poles can be generated using their natural poles. The generated library of poles provided the possibility of identifying a target by comparing them with the computed natural poles from a target. The simulation models were made assuming that there is an air cavity under urban ground or sandy soil. The response of the desired target was extracted from the electromagnetic wave scattering data from its simulation model. The coordinates of the target were estimated using the time delay of the impulse response (peak of the impulse response) in the time domain. The MP (Matrix Pencil) method was applied to extract the natural poles of a target. Finally, a 0.2-m-diameter spherical air cavity underground could be estimated by comparing both the pole library of the objects and the calculated natural poles and the natural resonant frequency of the target. The computed location (depth) of a target showed an accuracy of approximately 84 to 93%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.5
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• pp.2287-2312
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• 2018

Extracting key visual information from images containing natural scene is a challenging task and an important step for the visually impaired to recognize information based on tactile graphics. In this study, a novel method is proposed for extracting salient regions based on global contrast enhancement and saliency cuts in order to improve the process of recognizing images for the visually impaired. To accomplish this, an image enhancement technique is applied to natural scene images, and a saliency map is acquired to measure the color contrast of homogeneous regions against other areas of the image. The saliency maps also help automatic salient region extraction, referred to as saliency cuts, and assist in obtaining a binary mask of high quality. Finally, outer boundaries and inner edges are detected in images with natural scene to identify edges that are visually significant. Experimental results indicate that the method we propose in this paper extracts salient objects effectively and achieves remarkable performance compared to conventional methods. Our method offers benefits in extracting salient objects and generating simple but important edges from images containing natural scene and for providing information to the visually impaired.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7302-7308
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• 2014

Detecting target objects robustly in natural environments is a difficult problem in the computer vision and image processing areas. This paper suggests a method of robustly detecting target objects in the environments where reflection exists. The suggested algorithm first captures scenes with a stereo camera and extracts the line and corner features representing the target objects. This method then eliminates the reflected features among the extracted ones using a homographic transform. Subsequently, the method robustly detects the target objects by clustering only real features. The experimental results showed that the suggested algorithm effectively detects the target objects in reflection environments rather than existing algorithms.

• The Korean Journal of Ecology
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• v.18 no.4
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• pp.525-531
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• 1995

The Korean government has recently announced its plan to establish the first National Museum of Natural History. However, the Korean word for natural history, jayonsa, is not a very familiar term to some academics as well as the general public. This article discusses the definition and history of natural history, describes the functions of natural history meseums, and makes suggestions to the establishment of our National Museum. Modern natural history is no longer an art of ‘stamp collecting’. It is a comprehensive scientific endeavor pursuing to enlighten the history of the planet Earth and the diversity of natural objects it contains. Natural history museum must have two museums within the museum: the outer museum for exhibition and general public education and the inner museum for research and specialist education. I hope that our National Museum of Natural History will be a place where we all get to know about Nature and thus to love her.