• Journal of the Korean Institute of Telematics and Electronics
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• v.27 no.6
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• pp.851-860
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• 1990

This paper presents a recognition method which interprets 3-D object in terms of several silhouettes of quadtree and octree. Object representation used in object matching should be invariant with respect to locatin and orientation of the object. Generalized octree is projected on to image plane along the principal axes. Regular octree is made from orthogonal directions, but generalized octree is independent to viewing directions. Recognition process is achieved in two-stage matching. The quadtrees and octrees of unknown object with minimum dissimilarities are matched with the quadtrees and octrees of the models. So as to verify efficiency of 3-D object representation and accuracy of object recognition, experiments are performed for 14 different type of geometrical models and its results have been shown.

• Proceedings of the IEEK Conference
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• 2000.11d
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• pp.17-20
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• 2000

This paper describes a shape-based object recognition algorithm using multiple distance images. For the images containing dense edge points and noise, previous Hausdorff distance (HD) measures yield a high ms error for object position and many false matchings for recognition. Extended version of HD measure considering edge position and orientation simultaneously is proposed for accurate matching. Multiple distance images are used to calculate proposed matching measure efficiently. Results are presented for visual images and infrared images.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1999.10c
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• pp.354-358
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• 1999

In practicing the refinement project of agriuctural production basys, many researches have been done until now, but they are not reused because management is not easily accomplished. We analysed and designed the Components of refinement project by the object -orientation technique, and presented a method of accumulation and management of object's data using relational database. In result, management of new data is easy and reusibility are increased compared to structural analysis technique.

• The Journal of Information Systems
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• v.10 no.1
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• pp.97-126
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• 2001

Object-orientation has been proposed as a promising software process innovation to improve software productivity and quality. It has not been understood clearly, however, what factors influences the diffusion of object-oriented technology in organizations. A research model was formulated and hypotheses were generated based on the literature of information technology implementation and software process innovation. To test the research hypotheses, a questionnaire survey was conducted. The results based on 121 responses from Korean companies revealed that project characteristics, use of external experts, and number of development projects are significantly related to the diffusion of object-oriented analysis and design and object-oriented programming. Innovation champion is positively related to the diffusion of object-oriented analysis and design, whereas it is not related to the diffusion of object-oriented programming language. Only project complexity was significantly related to the diffusion of visual programming language. On the other hand, organizational size was not significantly related to any object-oriented technology in this study.

• 한국정보컨버전스학회:학술대회논문집
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• 2008.06a
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• pp.103-110
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• 2008

In this thesis, we describe a statistical method for 3D object detection. In this method, we decompose the 3D geometry of each object into a small number of viewpoints. For each viewpoint, we construct a decision rule that determines if the object is present at that specific orientation. Each decision rule uses the statistics of both object appearance and "non-object" visual appearance. We represent each set of statistics using a product of histograms. Each histogram represents the joint statistics of a subset of wavelet coefficients and their position on the object. Our approach is to use many such histograms representing a wide variety of visual attributes. Using this method, we have developed the first algorithm that can reliably detect faces that vary from frontal view to full profile view and the first algorithm that can reliably detect cars over a wide range of viewpoints.

• The Journal of Engineering Research
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• v.2 no.1
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• pp.63-71
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• 1997

In this paper, we describe an approach that determines the identity of surfaces of an object with planar and curved surfaces from range data of the object in the scene. The proposed matching scheme presents that surface correspondence of an object is achieved by simple comparison of values for representing surfaces of the object with model in order to avoid unnecessary matching procedures. We use uniquely assigned Surface Representing Value(SRV) for representing surfaces of the object, which are sums of all weighted view-point independent features. And, the proposed method is simple, quite effective and insensitive to occlusion and noise in sensor data.

• Korean Journal of Remote Sensing
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• v.24 no.5
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• pp.473-481
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• 2008

This paper presents an approach to Back-propagation and Radial Basis Function neural network method with various training set for automatic vehicle detection from aerial images. The initial extraction of candidate object is based on Mean-shift algorithm with symmetric property of a vehicle structure. By fusing the density and the symmetry, the method can remove the ambiguous objects and reduce the cost of processing in the next stage. To extract features from the detected object, we describe the object as a log-polar shape histogram using edge strengths of object and represent the orientation and distance from its center. The spatial histogram is used for calculating the momentum of object and compensating the direction of object. BPNN and RBFNN are applied to verify the object as a vehicle using a variety of non-car training sets. The proposed algorithm shows the results which are according to the training data. By comparing the training sets, advantages and disadvantages of them have been discussed.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.1
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• pp.43-54
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• 2000

The purpose of this study is to help male-clothing companies in investigating male shopping orientation and information source with clothing benefits. As for the method of the research, 428 male consumers were the object for the data of this research. The major results of this study are as follows : 1. The dimensions of clothing benefits were composed of the better appearances, the social status, the personality and the comfort. The dimensions of shopping orientation were composed of pleasant, planned, loyal and individual shopping orientations. 2. The consumer with clothing benefits were classified three groups: better appearances, comfort and careless. In the consumer's classified shopping orientation the group of pursuing personality and better appearances were given higher score at each level, while careless group was given the lowest score at each level of shopping orientation. 3. In case of using information source with classified consumers, the group of personality and better appearances got information through the marketer-oriented information source and neutral information source, the group of pursuing comfort got lots of information through human information source, the group seldom used all information source.

• Journal of Families and Better Life
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• v.30 no.3
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• pp.105-118
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• 2012

This study aims to recognize cognition of credit card and shopping value in contemporary society, cognition of credit card and shopping value according to types of consumption orientation, and factors that influence cognition of credit card and shopping value, and ultimately provide a foundation for establishing proper shopping value. A total of 453 women and men residing in Seoul have been set as research object in order to achieve the purpose of the study. The data was analyzed by Cronbach' alpha, frequencies, percentile, mean, factor analysis, K-mean cluster analysis, t-test, ANOVA and Duncan's multiple range test, multiple linear regression. All analysis progress was done by spsswin12.0 statistics program. A summary of this research goes as follows: First, categorization of consumption orientation lead to two clusters of rational and symbolic & conspicuity consumption patterns and cognition of credit card was categorized into positive and negative cognition and shopping value was categorized into hedonic shopping value, utilitarian shopping value and time-save shopping value. Second, rational shoppers had high utilitarian shopping values and symbolic & conspicuity shoppers had high both hedonic shopping values and utilitarian shopping values. Third, the most influential factor in hedonic shopping value and utilitarian was consumption orientation. In conclusion, this research has showed that cognition of credit card and shopping value according to types of consumption orientation patterns varied, and that consumption orientation was an influential factor on cognition of credit card and shopping value.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.8
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• pp.1367-1377
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• 2001

Cousumers developed self-image through clothing symbolic product for reveal one’self image. When consumers select particular brand of various brand in the market that congruent with one’self image. They have to continue image. In this purpose, the research model was constituted and the questionnaire was made, reviewing preceding studies on self-image, shopping orientation. As for the method of the research, 635 female consumers were the object for the data of this research. The major results of this were as follows: 1. The factor or real self-image was composed of four factors: the refined and deluxe image, casual and simple image, decorous and dressy image, quiet and feminine image. 2. The consumer with real self-image were classified three groups: the group of feminine and dressy image 288 persons, the group of casual image 167 persons and poor image 171 persons. In the consumer’s classified real purchasing brand-image the group of feminine and dressy image was given higher score at feminine and refined and deluxe image, the group of casual image was given higher score at casual and active. 3. The factor of shopping orientation was composed of four factors: pleasant, planned, loyal, recreational shopping orientation. The group of feminine and dressy image was given higher score at pleasant and planned shopping orientation, the group of casual image was given lower score loyal and confident shopping orientation than the other group.