• Imaging Science in Dentistry
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• v.47 no.3
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• pp.199-207
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• 2017

Purpose: Evaluation of alveolar bone is important in the diagnosis of dental diseases. The periodontal ligament space is difficult to clearly depict in cone-beam computed tomography images because the reconstruction filter conditions during image processing cause image blurring, resulting in decreased spatial resolution. We examined different reconstruction filters to assess their ability to improve spatial resolution and allow for a clearer visualization of the periodontal ligament space. Materials and Methods: Cone-beam computed tomography projections of 2 skull phantoms were reconstructed using 6 reconstruction conditions and then compared using the Thurstone paired comparison method. Physical evaluations, including the modulation transfer function and the Wiener spectrum, as well as an assessment of space visibility, were undertaken using experimental phantoms. Results: Image reconstruction using a modified Shepp-Logan filter resulted in better sensory, physical, and quantitative evaluations. The reconstruction conditions substantially improved the spatial resolution and visualization of the periodontal ligament space. The difference in sensitivity was obtained by altering the reconstruction filter. Conclusion: Modifying the characteristics of a reconstruction filter can generate significant improvement in assessments of the periodontal ligament space. A high-frequency enhancement filter improves the visualization of thin structures and will be useful when accurate assessment of the periodontal ligament space is necessary.

• Bulletin of the Korean Space Science Society
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• 2006.10a
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• pp.87-87
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• 2006

• Korean Institute of Interior Design Journal
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• v.17 no.6
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• pp.128-136
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• 2008

It wouldn't be exaggerating to say that we're living in a "Brand age" these days. Brand is easily spotted anywhere around our surroundings, influencing us in a material and a moral way. BI(Brand Identity) which brings increase on sales by constructing and improving the brand image, are infect visually compressed Identity designs that will give the interior space that have applied it, superiority in building a unified image. Then, graphic plays an important role in expressing Identity designs visually. These days, interior space graphic is an emotional field that can materialize images, which became an important expressing medium that offers various images and creativity and show interior space's brand identity. In this manner, space graphic that applies identity designs, clearly states brand's intentions on space communication and users by designing company images or brand's emotional factors visually and dimensionally. Also, it escapes plane level, and gives space, dimensional and kinetic elements, which can give differentiation with other brand's space. These kinds of flexibility let space graphic be used efficiently in extending space identity.

• Korean Institute of Interior Design Journal
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• v.23 no.5
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• pp.112-121
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• 2014

The purpose of this study is to develop the user-oriented housing interior space sensibility evaluation tools: The user-oriented housing interior space sensibility evaluation tools shall be developed through the systematic selection process of the extracted housing interior space images, which were linked with the adjectives of sensibility evaluation selected for the housing interior space preferred by the user from the specific words of the sensibility extracted to identify the characteristics of the user's sensibility which is recently being changed. In the results of analyzing the words of sensibility for the residential space preferred by the users with 48 pairs of adjectives. The user-oriented sensibility assessment tool was built by extracting 8 sensibility factors of 'cozy', 'practical' 'cheerful', 'traditional', 'unique', 'congenial', 'sensuous', and 'gorgeous' in the exploratory factor analysis. The image scale was constructed in two-dimensions of the sense of space and the type of space for the residential interior space images. The dimension of the 'sense of space' is explained by the axis of open-closed and the dimension of 'type of space, is explained by the axis of 'natural-artificial'. Such a structural model of the residential interior design attributes were divided into 8 groups. And the 42 images representing each group were selected and the user-oriented residential interior space image tool was built by adding user's selective elements.

• Journal of the Korean Institute of Landscape Architecture
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• v.34 no.3 s.116
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• pp.23-31
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• 2006

Multi-sensory design results from sensory design paradigm and image centricism, which stimulates 5 sensation; visual, auditory, haptic, smell and taste sensation when we experience environment. This is helpful for designing outdoor space considering integrated sensation not only visual and auditory sensation as well as for improving visitor's satisfaction. Therefore, this study mainly intended to analyse the multi-sensory preference and the image influence of outdoor leisure space. For these purpose, this study selected 3 leisure spaces around Seoul city; Gwan-ak mountain(the type oriented natural resource), Insa-dong(the type oriented cultural resource) and Seoul land as theme park(the type oriented facility) and a survey was performed with a total of 204 visitors at the above spaces in winter and summer. The results of this study indicate that visual sensation was evaluated most high at 3 outdoor leisure spaces in both winter and summer. Visitors at Gwan-ak mountain and Seoul land prefer visual and haptic sensation, but visitors at Insa-dong prefer visual and haptic sensation in summer, visual and taste sensation in winter. Above all, this study led the designer to consider diverse sensation to access leisure space, especially haptic sense, which can be an effective design strategy to satisfy visitors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.3981-4004
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• 2019

This paper proposes a novel method for locating objects in real space from a single remote image and measuring actual distances between them by automatic detection and perspective transformation. The dimensions of the real space are known in advance. First, the corner points of the interested region are detected from an image using deep learning. Then, based on the corner points, the region of interest (ROI) is extracted and made proportional to real space by applying warp-perspective transformation. Finally, the objects are detected and mapped to the real-world location. Removing distortion from the image using camera calibration improves the accuracy in most of the cases. The deep learning framework Darknet is used for detection, and necessary modifications are made to integrate perspective transformation, camera calibration, un-distortion, etc. Experiments are performed with two types of cameras, one with barrel and the other with pincushion distortions. The results show that the difference between calculated distances and measured on real space with measurement tapes are very small; approximately 1 cm on an average. Furthermore, automatic corner detection allows the system to be used with any type of camera that has a fixed pose or in motion; using more points significantly enhances the accuracy of real-world mapping even without camera calibration. Perspective transformation also increases the object detection efficiency by making unified sizes of all objects.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.7
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• pp.119-124
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• 1999

A method to find the line of sight ray in space which corresponds to a point in an image plane is presented. The line of sight ray is defined by two points which are the intersections between the two calibration planes and the sight ray. The intersection point is found by the oblique coordinate mapping between the image plane and the calibration plane in the space. The proposed oblique coordinate mapping method has advantages over the transformation matrix method in the required memory space and computation time.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2004.11a
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• pp.50-54
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• 2004

Now days is the age of brands. We are very close to the brands. The brands are found in every comer of our life, delivering messages endlessly. This study purposed to analyze on how to brand images express in a fashion shop of Interior design. This study used comparison and analyze base on social space and experience space each fashion shop. Research a brand images spaces as a identify the relationship between brand image expression and space.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.10a
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• pp.157-162
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• 2003

The 3D Image which embodies real object to 3D space of computer enables various geometrical analysis as well as visualization of complex 3D shape by giving sense for the real and cubic effect that can not be offered in 2D image. Human gives real object to same physical properties in 3D space imagination world of computer, and it is expected that this enables offering of various information by user strengthening interface between human-computer to observe object in real condition. In this study, formal style routine of 3D image creation applying digital photogrammetry was designed for more practical, highly trusty 3D image creation, and the system was emboded using object-oriented technique which strengthen user interface. Also, the discontinuity information about rock slope using 3D image is acquired that is orientation, persistence, spacing and aperture etc.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.367-370
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• 2005

This paper proposes a novel method for content-based watermarking based on feature points of an image. At each feature point, watermark is embedded after affine normalization according to the local characteristic scale and orientation. The characteristic scale is the scale at which the normalized scale-space representation of an image attains a maximum value, and the characteristic orientation is the angle of the principal axis of an image. By binding watermarking with the local characteristics of an image, resilience against affine transformations can be obtained. Experimental results show that the proposed method is robust against various image processing steps including affine transformations, cropping, filtering, and JPEG compression.