• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.531-535
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• 1999

Automatic human face detection in a complex background is one of the difficult problems. In this paper, we propose an effective and robust automatic face detection approach that can locate the face region in natural scene images when the system is used as a pre-processor of a face recognition system . We use two natural and powerful visual cues, the skin color and the eyes. In the first step of the proposed system, the method based on the human skin color space by selecting flesh tone regions using normalized r-g space in color images. In the next step, we extract eye features by calculating moments and using geometrical face model. Experimental results demonstrate that the approach can efficiently detect human faces and satisfactory deal with the problems caused by bad lighting condition, skew face orientation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.7
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• pp.2400-2419
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• 2014

Pre-segmented pixels can reduce the difficulty of segmentation and promote the segmentation performance. This paper proposes a novel segmentation method based on merging texture superpixels by computing inner similarity. Firstly, we design a set of Gabor filters to compute the amplitude responses of original image and compute the texture map by a salience model. Secondly, we employ the simple clustering to extract superpixles by affinity of color, coordinates and texture map. Then, we design a normalized histograms descriptor for superpixels integrated color and texture information of inner pixels. To obtain the final segmentation result, all adjacent superpixels are merged by the homogeneity comparison of normalized color-texture features until the stop criteria is satisfied. The experiments are conducted on natural scene images and synthesis texture images demonstrate that the proposed segmentation algorithm can achieve ideal segmentation on complex texture regions.

• Journal of the Korean housing association
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• v.1 no.1
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• pp.49-64
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• 1990

Studies on housing concept currently activated by environmental psychology are in its early stage of developement. The trends can be characterized as case oriented, phenomenological, and exploratory. The purpose of this research was to explore empirically the housing concept from residents living in multi family housing complex through their verbal expressions. Subjects were 63 housewives of middle class households in Junggae area. Interview technique with open questions about housing concept and images was used. The responses were analyzed using content analysis in which episode was the analysis unit. Relaxation appeared the most important aspect of housing concept This seemed to imply the need for escaping from the modern city life with too much stimulus or stress. Answers on specific images considered desirable to keep and continue from past traditional housing to future housing showed their strong need for natural green environment such as garden and park. This supported the concept of relaxation as a major function of modern housing and showed a specific alternative mean to satisfy the relaxation concept.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1819-1820
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• 2008

Steel slabs are marked with slab management numbers (SMNs). To increase efficiency, automated identification of SMNs from digital images is desirable. Automatic extraction of SMNs is a prerequisite for automatic character segmentation and recognition. The images include complex background, and the position of the text region of the slabs is variable. This paper describes an pre-processing algorithm for detection of slab information using robust feature points extraction. Using SIFT(Scale Invariant Feature Transform) algorithm, we can reduce the search region for extraction of SMNs from the slab image.

• Journal of Korean Medical classics
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• v.20 no.4
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• pp.81-90
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• 2007

From the study on the relation of O-mi(五味) and Sam-Eum-Sam-Yang(三陰三陽), the conclusion is as follows. The system of Sam-Eum-Sam-Yang(三陰三陽) in human body expresses a kind of inner images[象] of continuous life, that implies many complex view-points, in both inside and out-side according to time flow. Besides, O-mi(五味) is one of very important native properties of all existences, that is accepted from the state they have been located in, and it includes the principles of real nature. Based on understanding of Sam-Eum-Sam-Yang(三陰三陽), when we investigate properties of O-mi(五味) for practical use, the concepts of contraction and extension[收散], softening and hardening[軟堅], and slowing and fastening[緩急], referred in Naegyeong(內經), directly express the images of Sam-Eum-Sam-Yang(三陰三陽).

• KIEAE Journal
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• v.13 no.2
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• pp.85-92
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• 2013

Regarding urban design in this 21st century, cities pursue human-oriented urban design through which nature, cities, and human beings are unified and interact with one another. For such urban design maintenance, it is needed to conduct systematic analysis and synthesis on various and complex factors of cities expressing urban images. Also, it is necessary to secure methods to evaluate those cities based on urban users' visual information. Thereupon, this study aims to suggest urban design evaluation methods which accept human behavior or needs and also allow us to figure out desirable images. For this, the study established the construction system of the most basic urban design components that form cities through literature review and expert evaluation. And it examines correlation among those factors with statistic means. Through this, the study suggests a new urban design evaluation system and evaluation process divided into experts and users so as to reflect user behavior or needs.

• Proceedings of the IEEK Conference
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• 2002.06d
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• pp.69-72
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• 2002

Human face detection has many applications such as face recognition, face or facial feature tracking, pose estimation, and expression recognition. We present a new method for automatically segmentation and face detection in color images. Skin color alone is usually not sufficient to detect face, so we combine the color segmentation and shape analysis. The algorithm consists of two stages. First, skin color regions are segmented based on the chrominance component of the input image. Then regions with elliptical shape are selected as face hypotheses. They are certificated to searching for the facial features in their interior, Experimental results demonstrate successful detection over a wide variety of facial variations in scale, rotation, pose, lighting conditions.

• Journal of Industrial Technology
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• v.29 no.A
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• pp.47-54
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• 2009

In this paper, we proposed hand detection and hand gesture recognition from USB camera video. Firstly, we extract hand region extraction using skin color information from a difference images. Background image is initially stored and extracted from the input images in order to reduce problems from complex backgrounds. After that, 16-directional chain code sequence is computed from the tracking of hand motion. These chain code sequences are compared with pre-trained models using DP matching. Our hand gesture recognition system can be used to control PowerPoint slides or applied to multimedia education systems. We got 92% hand region extraction accuracy and 82.5% gesture recognition accuracy, respectively.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1666-1669
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• 2002

In the process of creating architectural scenes from photographs using Model-based Stereo 〔1〕, the geometric model is used as prior information to solve correspondence problems and recover the depth or disparity of real scenes. This paper presents an Image Subregioning algorithm that divides left and right images into several rectangular sub-images. The division is done according to the estimated depth of real scenes using a Heuristic Approach. The depth difference between the reality and the model can be partitioned into each depth level. This reduces disparity search range in the Similarity Function. For architectural scenes with complex depth, experiments using the above approach show that accurate disparity maps and better results when rendering scenes can be achieved by the proposed algorithm.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.251-252
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• 2007

The thesis proposed the Text Extraction Algorithm which is a text extraction algorithm which uses the Coiflet Wavelet, YCbCr Color model and the close curve edge feature of adaptive LoG Operator in order to complement the demerit of the existing research which is weak in complexity of background, variety of light and disordered line and similarity of text and background color. This thesis is simulated with natural images which include naturally text area regardless of size, resolution and slant and so on of image. And the proposed algorithm is confirmed to an excellent by compared with an existing extraction algorithm in same image.