• 한국멀티미디어학회논문지
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• 제22권5호
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• pp.558-572
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• 2019

Anthropomorphism is the attribution of human traits, emotions, or intentions to non-human entities. Anthropomorphic animal face masking is the process by which human characteristics are plotted on the animal kind. In this research, we are proposing a compact system which finds the resemblance between a human face and animal face using Deep Convolutional Neural Network (DCNN) and later applies morphism between them. The whole process is done by firstly finding which animal most resembles the particular human face through a DCNN based animal face classification. And secondly, doing triangulation based morphing between the particular human face and the most resembled animal face. Compared to the conventional manual Control Point Selection system using an animator, we are proposing a Viola-Jones algorithm based Control Point selection process which detects facial features for the human face and takes the Control Points automatically. To initiate our approach, we built our own dataset containing ten thousand animal faces and a fourteen layer DCNN. The simulation results firstly demonstrate that the accuracy of our proposed DCNN architecture outperforms the related methods for the animal face classification. Secondly, the proposed morphing method manages to complete the morphing process with less deformation and without any human assistance.

• 한국멀티미디어학회논문지
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• 제23권4호
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• pp.525-538
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• 2020

A practical animal face classification system that classifies animals in image and video data is considered as a pivotal topic in machine learning. In this research, we are proposing a novel method of fully connected dual Deep Convolutional Neural Network (DCNN), which extracts and analyzes image features on a large scale. With the inclusion of the state of the art Batch Normalization layer and Exponential Linear Unit (ELU) layer, our proposed DCNN has gained the capability of analyzing a large amount of dataset as well as extracting more features than before. For this research, we have built our dataset containing ten thousand animal faces of ten animal classes and a dual DCNN. The significance of our network is that it has four sets of convolutional functions that work laterally with each other. We used a relatively small amount of batch size and a large number of iteration to mitigate overfitting during the training session. We have also used image augmentation to vary the shapes of the training images for the better learning process. The results demonstrate that, with an accuracy rate of 92.0%, the proposed DCNN outruns its counterparts while causing less computing costs.

• 동의생리병리학회지
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• 제23권2호
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• pp.325-330
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• 2009

In Korea, medical diagnostic equipments and biochemical examination can not be used in order for diagnosing sub-healthy state or ante-disease state in oriental medicine clinic. So morphic analogical method used in oriental medicine can be a good tool as a disease-predictable signs in order to enable preventive diagnosis and therapy. Therefore the four geometrical subjects; Essence, Pneuma, Spirit, Blood(四科;精氣紳血) and the four taxonomical species; Pisces, Quadruped, Aves, Carapaces(四類;魚走鳥甲) are chosen as morphic models in this paper. The differences of two classifying methods with four subjects and four species were as follows. The diagnostic category was meta-medical and synthetic against medical specific. The diagnostic object was body in contrast with face. They were able to be applicant in psychology and classification of characteristics against diagnostics and therapeutics directly in oriental medicine. The theoretical basis was basic diagrams of four unit-fluids of body and morphological analogy with four animal species respectively. And the therapeutic aims were systemic pathogenesis following five phase theory against congestion and deficiency of Essence, Pneuma, Spirit, Blood. The four subjects and four species are mixed each other practically in clinic. But it should be used limitedly because of the above reasons described and must divide the principal and secondary factors and follow the pathology of principal shape factor. In order to improve the diagnostic value of ante-disease state, the discriminable standards, measurement methods, limit of interrelating interpretation and the criteria of abnormal disproportion were needed to be defined more clearly in advance.

• 비교문화연구
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• 제39권
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• pp.241-286
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• 2015

This study explores how folktales' motifs are used in diverse cultural contents such as literature, movies, or comics. More precisely, it is concerned with mysterious characters like Babayaga and Koshchei who appear in Russian fairytales. When the motifs of the reviewed literature are analyzed, the following three criteria are used for classification: New Writing, Rewriting, and New Version. Or course, it is New Writing that is far from the original work. Most of the collected works, including Joan Aiken's The Kingdom Under the Sea, Patricia Polacco's Babushka's Doll, Babushka Baba Yaga, and Tai?-Marc Le Thanh's BABAYAGA, belong to New Writing. The New Writing type mainly focuses on Babayaga's secluded life. In fairytales, Babayaga is depicted as the goddess of Mother Earth, the heroine of the Nature, or the ruler of the Animal Kingdom. That is why she lives in the deep and uninhabited wood. She is related to the Coming of Age ceremony. Her 'Hut on hen's legs' is an obstacle for immature protagonists to face before they come of age. Protagonists are supposed to solve the problems posed by Babayaga. If they succeed, they can get her magical help so as to complete their final mission. Babayaga is likely to appear as their antagonist. Protagonist may be subjected to a terrible ordeal created by Babayaga, and then come of age by recovering from that ordeal. Sometimes, Babayaga helps protagonists to get a grip on reality. That is why she lives in a hut in the deep and dark forest which is on the borderline between life and death. On the other hand, Marianna Mayer's Baba Yaga and Vasilisa the Brave has been classified as a controversial work between New Writing and Rewriting. It is apparently closer to New Version. However, it cannot be classified as a work of New Version because the author incorporates 'probability' into her work. Among the reviewed works, it is Korean Writer Rye, Kami's The Spider Woman's House that best reflects the essence of Babayaga. Babayaga and other characters are amusing in movies because most of the movies are animations for children. In one sense, it is positive that the scary characters in folktales are approachable to children. In other sense, however, it is regrettable that symbolic motifs are completely eliminated. In Mike Mignola's Hellboy, Japanese animations such as Index or Narutaru, on-line games such as Cabal or Vampire: The masquerade, the essence of the supernatural characters in folktales is completely eliminated, and only their 'belligerent power' stands out. It is desirable to put stories into perspective whether they are written or told. The literature property of folktales provides a special opportunity to readers. In this light, a variety of motifs have a good reason to be reborn as modern cultural contents. The bottom line is to maintain its true nature.