• Title/Summary/Keyword: human perception model

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A Fuzzy logic-based Model in Image Processing

  • Moghani, Ali
    • 한국정보디스플레이학회:학술대회논문집
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    • 2008.10a
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    • pp.943-946
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    • 2008
  • Many works have been done to enable computer, as brain of robot, to learn color categorization, most of them rely on modeling of human color perception and mathematical complexities. This paper aims at developing the innate ability of the computer to learn the human-like color categorization.

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A Model to Predict the Strength of Watermark in DWT-Based Image Watermarking

  • Moon, Ho-Seok;Park, Suk-Bong;Bae, Hyun-Wung
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.2
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    • pp.475-485
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    • 2008
  • One of main issues in watermarking is to resolve the strength of watermark for solving the problem of trade-off between fidelity and robustness of watermarking. In the previous research, the strength of watermark has been resolved fixed value generally without considering local image characteristics such as image brightness, contrast, and edge. This paper proposes a new model to predict the strength of watermark considering local image characteristics such as image brightness, contrast, and edge for digital wavelet transform(DWT)-based image watermarking. For the study, psychological experiment was fulfilled to measure the human image perception and regression analysis showed the proposed model was statistically significant at the level of ${\alpha}\;=\;0.01$. Also the model is practically validated on fidelity and robustness of watermarking.

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Model of Environmental Design by the Theory of Ecological Perception (생태학적 지각이론에 의한 환경디자인 사례연구 - 노원구 상계동 롯데백화점을 중심으로 -)

  • Kim, Soo-Yeon;Min, Moon-Hee
    • Proceedings of the Korean Institute of Interior Design Conference
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    • 2005.05a
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    • pp.231-234
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    • 2005
  • The ecological theory of perception provides the human living, and meaning integrating norm to overcome the crisis caused by an eastern belief in human-centered wrong rationality formed at the past process of modernization. Prior to the overall consideration of ecological perception theory, looked into the concepts, contribution extent and its limitation of the existing perception theories for the environmental design. By experimentally applying inferred concepts of design to department bridge space and forming the space, certified the applicability of it to the green amenity space. The site Is located in Nowon- Gu Sangge- Dong. The design was processed on the basis of survey, plants growth environment and plants characters. It is expected that this design would serve the commercial space- consumer as a symbolic, environmentally friendly space design

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A Study on Visual Perception based Emotion Recognition using Body-Activity Posture (사용자 행동 자세를 이용한 시각계 기반의 감정 인식 연구)

  • Kim, Jin-Ok
    • The KIPS Transactions:PartB
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    • v.18B no.5
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    • pp.305-314
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    • 2011
  • Research into the visual perception of human emotion to recognize an intention has traditionally focused on emotions of facial expression. Recently researchers have turned to the more challenging field of emotional expressions through body posture or activity. Proposed work approaches recognition of basic emotional categories from body postures using neural model applied visual perception of neurophysiology. In keeping with information processing models of the visual cortex, this work constructs a biologically plausible hierarchy of neural detectors, which can discriminate 6 basic emotional states from static views of associated body postures of activity. The proposed model, which is tolerant to parameter variations, presents its possibility by evaluating against human test subjects on a set of body postures of activities.

A Psychophysical Approach to the Evaluation of Perceived Focusing Quality of CRT Displays

  • Yoon, Kwang-Ho;Kim, Sang-Ho;Chang, Sung-Ho
    • Journal of Information Display
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    • v.5 no.3
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    • pp.35-40
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    • 2004
  • In this study, we collected data used to formulate the relationship between quantitative metrological parameters in CRT display and the perceived focus quality. Human perception of the focusing quality was evaluated in terms of user feedback scores regarding the character legibility from four highly trained inspectors. Thirteen CRT monitors from five different manufacturers were compared relatively with respect to the norm monitor. The profile of electron beam such as spot size and the shape of distribution made by electron beam, contrast, convergence of RGB beams, and luminance characteristics were measured using a precision measurement system. Linear regression analysis and artificial neural network models were used to formulate the relationship between human perception and the quantitative measurements. The accuracy of the formulated linear regression model ($R^2$=0.515) was not satisfactory but the nonlinear neural network model ($R^2$=0.716) was fairly convincing and robust even the utilized data included subjective differences.

Development of a Family Pattern Appraisal to Guide a Rogerian Nursing Practice (Rogers 이론에 근거한 가족양상 사정지침개발)

  • 이광옥;한영란;김희정
    • Journal of Korean Academy of Nursing
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    • v.25 no.4
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    • pp.751-773
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    • 1995
  • We, clinical nurse specialists practising and guiding student practice in a Community health nursing clinic, wanted to develop a family pattern appraisal consistent with Rogers' conceptual system, the nursing model guiding our practice. We use Rogers' model because it is harmonious with the traditional Korean view of the one human, natural and cosmic world. The purpose of our research was to contribute to science - based nursing practice, not only, one helpful model, but also a model of how to use, in guiding practice, a conceptual system which reflects nurse practitioners' philosophy of nursing, is intellectually satisfying, and enriches meaning in daily nursing life. The research objectives were to review the literature on Rogers' model and analyse it according to Kim's five - level analytical framework, to explore Rogers' definition of family, to review appraisals based on Rogers' model, and to develop a family appraisal which is culturally appropriate for use in our community. This work including the use of the appraisal and its refinement with families in our practice which was done during 1994 and 1995, in Seoul, in the Capital of the Republic of Korea. At the highest level of analysis, Rogers conceptual system emphasizes acausality and multidimentional meaning ; the world view is characterized by process, movement and wholeness. The epistemology Is one of holism and the knowledge base includes all forms of experience, from sensory to mystical, objective, and subjective. At the metaparadigm level, nursing focuses on the unitary human being and the environment. At the level of nursing philosophy, the model identifies human being, nursing, nurse, and illness and health. At the paradigm level the model assumes the irriducibility of the human to parts, noncausality and continual change. Rogers' practice methodology consists of pattern manifestation appraisal and deliberative mutual patterning. Under-standing patterns and patterning of people is the key to helping them achieve their potential. At the theory level, the basic assumptions, key concepts, and homeodynamic principles were identified. Rogers states the family energy field is an undividable, four-dimensional negentropic energy field which is in a larger envircinmental field show-ing such characteristics as cannot be predicted by knowledge of individual family members. Based on the word of Rogers scholars, we chose Rogers' correlates of patterning to understand the family unit as a whole-frequency, rhythms, motion, time perception, sleeping-waking beyond waking, pragmatic -imaginative-visionary to develop the appraisal. We, also used some of Barrel's (1988) criteria including interpersonal network and professional health care access and use, and Cordon's (1982) criteria including self perception - self concept modified to fit the family. Our family Pattern appraisal included 1. Influencirg data, 2. Professional health care access and use, 3. Family self perception-self concept, 4. Family interpersonal network, 5. Sleep-wake-be-yond waking, 6. Pragmatic-imaginary-visionary, 7. Family frequency and rhythm, 8. Family motion, 9. Family time perception. The appraisal was used with four families and modified to eliminate overlap and to make it possible for the family member to express themselves more easily. We plan to gain more experience with the appraisal toward further development of the tool.

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Correlation Analysis between Artists' Shading and CG Shading (미술가들의 음영 표현 특성과 CG 쉐이딩 알고리즘 간의 상관관계 분석)

  • Byun, Hae-Won;Park, Yoon-Young
    • Journal of Korea Multimedia Society
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    • v.14 no.5
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    • pp.691-702
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    • 2011
  • Recently, several researchers have attempted to combine human visual perception and computer graphics. Cole et. al. suggest the study results in which line drawing algorithm in computer graphics characterize the properties of line drawing made by artists. The paper also evaluates CG line drawing algorithms depending on whether people recognize effectively specific 3D shape from the image made by those CG line drawing algorithms. However, human recognizes the shape of objects more effectively in image made by BRDF shading model than line drawing algorithm. It means that the shading factor is important to recognize shape with human perception. In this paper, we analyze the correlation between shading made by human artists and that made by CG shading algorithms. The study is to characterize the mathematical properties of artists' shading and CG shading. This type of analysis can guide the future development of new CG shading algorithm in computer graphics for the purpose of shape perception.

Robust Image Watermarking via Perceptual Structural Regularity-based JND Model

  • Wang, Chunxing;Xu, Meiling;Wan, Wenbo;Wang, Jian;Meng, Lili;Li, Jing;Sun, Jiande
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.2
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    • pp.1080-1099
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    • 2019
  • A better tradeoff between robustness and invisibility will be realized by using the just noticeable (JND) model into the quantization-based watermarking scheme. The JND model is usually used to describe the perception characteristics of human visual systems (HVS). According to the research of cognitive science, HVS can adaptively extract the structure features of an image. However, the existing JND models in the watermarking scheme do not consider the structure features. Therefore, a novel JND model is proposed, which includes three aspects: contrast sensitivity function, luminance adaptation, and contrast masking (CM). In this model, the CM effect is modeled by analyzing the direction features and texture complexity, which meets the human visual perception characteristics and matches well with the spread transform dither modulation (STDM) watermarking framework by employing a new method to measure edge intensity. Compared with the other existing JND models, the proposed JND model based on structural regularity is more efficient and applicable in the STDM watermarking scheme. In terms of the experimental results, the proposed scheme performs better than the other watermarking scheme based on the existing JND models.

ADD-Net: Attention Based 3D Dense Network for Action Recognition

  • Man, Qiaoyue;Cho, Young Im
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.6
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    • pp.21-28
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    • 2019
  • Recent years with the development of artificial intelligence and the success of the deep model, they have been deployed in all fields of computer vision. Action recognition, as an important branch of human perception and computer vision system research, has attracted more and more attention. Action recognition is a challenging task due to the special complexity of human movement, the same movement may exist between multiple individuals. The human action exists as a continuous image frame in the video, so action recognition requires more computational power than processing static images. And the simple use of the CNN network cannot achieve the desired results. Recently, the attention model has achieved good results in computer vision and natural language processing. In particular, for video action classification, after adding the attention model, it is more effective to focus on motion features and improve performance. It intuitively explains which part the model attends to when making a particular decision, which is very helpful in real applications. In this paper, we proposed a 3D dense convolutional network based on attention mechanism(ADD-Net), recognition of human motion behavior in the video.

A Bio-Inspired Modeling of Visual Information Processing for Action Recognition (생체 기반 시각정보처리 동작인식 모델링)

  • Kim, JinOk
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.8
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    • pp.299-308
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    • 2014
  • Various literatures related computing of information processing have been recently shown the researches inspired from the remarkably excellent human capabilities which recognize and categorize very complex visual patterns such as body motions and facial expressions. Applied from human's outstanding ability of perception, the classification function of visual sequences without context information is specially crucial task for computer vision to understand both the coding and the retrieval of spatio-temporal patterns. This paper presents a biological process based action recognition model of computer vision, which is inspired from visual information processing of human brain for action recognition of visual sequences. Proposed model employs the structure of neural fields of bio-inspired visual perception on detecting motion sequences and discriminating visual patterns in human brain. Experimental results show that proposed recognition model takes not only into account several biological properties of visual information processing, but also is tolerant of time-warping. Furthermore, the model allows robust temporal evolution of classification compared to researches of action recognition. Presented model contributes to implement bio-inspired visual processing system such as intelligent robot agent, etc.