• Title/Summary/Keyword: Feature space

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A Scale-Space based on Bilateral Filtering for Robust Feature Detection in SIFT (SIFT 알고리즘의 강인한 특징점 검출을 위한 양방향 필터 기반 스케일 공간)

  • Kim, Seungryong;Yoo, Hunjae;Son, Jongin;Oh, Changbum;Sohn, Kwanghoon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.07a
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    • pp.79-82
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    • 2012
  • 컴퓨터 비전에서 영상 매칭 기술은 다양한 분야에 응용될 수 있는 기초적인 기술 중에 하나이다. 강인한 영상 매칭을 위해서는 정확하고 독특한 특징점을 검출하는 과정이 중요하다. 기존의 SIFT나 SURF 등 영상 매칭 알고리즘은 등방성 가우시안 필터링을 사용한 스케일 공간을 생성하여 특징점을 검출한다. 이러한 기존의 특징점 검출 방식은 스케일 공간에서 영상의 경계선을 모호하게 만들어 정확한 특징점 검출을 어렵게 만들고 영상 매칭의 성능을 떨어뜨리는 문제점을 가지고 있다. 본 논문에서는 SIFT 알고리즘의 강인한 특징점 검출을 위하여 양방향 필터링을 사용하여 스케일 공간 생성을 제안한다. 이러한 스케일 공간 생성 방식은 스케일 공간에서 영상의 경계선을 보존해 줌으로서 강인한 특징점 검출을 가능하게 하여 영상 매칭 성능을 향상시킨다. 특히 왜곡이 존재하는 영상들의 매칭에서 제안하는 특징점 검출 방법이 적용된 SIFT 알고리즘은 기존의 SIFT 알고리즘보다 우수한 영상 매칭 결과를 보여준다.

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Parallel Multi-task Cascade Convolution Neural Network Optimization Algorithm for Real-time Dynamic Face Recognition

  • Jiang, Bin;Ren, Qiang;Dai, Fei;Zhou, Tian;Gui, Guan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.10
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    • pp.4117-4135
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    • 2020
  • Due to the angle of view, illumination and scene diversity, real-time dynamic face detection and recognition is no small difficulty in those unrestricted environments. In this study, we used the intrinsic correlation between detection and calibration, using a multi-task cascaded convolutional neural network(MTCNN) to improve the efficiency of face recognition, and the output of each core network is mapped in parallel to a compact Euclidean space, where distance represents the similarity of facial features, so that the target face can be identified as quickly as possible, without waiting for all network iteration calculations to complete the recognition results. And after the angle of the target face and the illumination change, the correlation between the recognition results can be well obtained. In the actual application scenario, we use a multi-camera real-time monitoring system to perform face matching and recognition using successive frames acquired from different angles. The effectiveness of the method was verified by several real-time monitoring experiments, and good results were obtained.

Definition of Optimal Face Region for Face Recognition with Phase-Only Correlation (위상 한정 상관법으로 얼굴을 인식하기 위한 최적 얼굴 영역의 정의)

  • Lee, Choong-Ho
    • Journal of the Institute of Convergence Signal Processing
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    • v.13 no.3
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    • pp.150-155
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    • 2012
  • POC(Phase-Only Correlation) is a useful method that can conduct face recognition without using feature extraction or eigenface, but uses Fourier transformation for square areas. In this paper, we propose an effective face area to increase the performance of face recognition using POC. Specifically, three areas are experimented for POC. The frist area is the square area that includes head and space. The second area is the square area from ear to ear horizontally and from the end of chin to the forehead vertically. The third area is the square area from the line under the lips to the forehead vertically and from cheek to cheek horizontally. Experimental results show that the second face area has the best advantage among the three types of areas to define the threshold for POC.

A Novel Automatic Algorithm for Selecting a Target Brain using a Simple Structure Analysis in Talairach Coordinate System

  • Koo B.B.;Lee Jong-Min;Kim June Sic;Kim In Young;Kim Sun I.
    • Journal of Biomedical Engineering Research
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    • v.26 no.3
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    • pp.129-132
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    • 2005
  • It is one of the most important issues to determine a target brain image that gives a common coordinate system for a constructing population-based brain atlas. The purpose of this study is to provide a simple and reliable procedure that determines the target brain image among the group based on the inherent structural information of three-dimensional magnetic resonance (MR) images. It uses only 11 lines defined automatically as a feature vector representing structural variations based on the Talairach coordinate system. Average characteristic vector of the group and the difference vectors of each one from the average vector were obtained. Finally, the individual data that had the minimum difference vector was determined as the target. We determined the target brain image by both our algorithm and conventional visual inspection for 20 healthy young volunteers. Eighteen fiducial points were marked independently for each data to evaluate the similarity. Target brain image obtained by our algorithm showed the best result, and the visual inspection determined the second one. We concluded that our method could be used to determine an appropriate target brain image in constructing brain atlases such as disease-specific ones.

New Blind Steganalysis Framework Combining Image Retrieval and Outlier Detection

  • Wu, Yunda;Zhang, Tao;Hou, Xiaodan;Xu, Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.12
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    • pp.5643-5656
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    • 2016
  • The detection accuracy of steganalysis depends on many factors, including the embedding algorithm, the payload size, the steganalysis feature space and the properties of the cover source. In practice, the cover source mismatch (CSM) problem has been recognized as the single most important factor negatively affecting the performance. To address this problem, we propose a new framework for blind, universal steganalysis which uses traditional steganalyst features. Firstly, cover images with the same statistical properties are searched from a reference image database as aided samples. The test image and its aided samples form a whole test set. Then, by assuming that most of the aided samples are innocent, we conduct outlier detection on the test set to judge the test image as cover or stego. In this way, the framework has removed the need for training. Hence, it does not suffer from cover source mismatch. Because it performs anomaly detection rather than classification, this method is totally unsupervised. The results in our study show that this framework works superior than one-class support vector machine and the outlier detector without considering the image retrieval process.

A Study on the Complex type & Space Character of Japanese Community Mixed-support Facility (일본 공동체복합지원시설의 복합화 유형과 공간에 관한 연구)

  • Kim, Su-Mi;Kim, Moon-Duck;Seo, Su-Mi
    • Journal of the Korean housing association
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    • v.20 no.2
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    • pp.11-18
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    • 2009
  • After 2004, as the community mixed-support facility in Japan was admitted as a private business of public facilities based on the Special Law for Urban Regeneration, the community mixed-support facilities in Japan are developed into various types with the view of the urban regeneration and urban renewal, more different point of view, and a tendency of establishment of the community facility has been considerably changed for the past twenty years. The reasons of the change are the social demand for the reformation of facility and the modification of subsidy constitution according to the establishment of equal facility. Some examples of that are the construction of lifelong education community and the change into a equivalent society between male and female and the adjusting to the aging and the welfare society and the social situation of more consumption recently, and in order to emerge from former building system, new facilities related to the contents are being expanded. The complex of the community mixed-support facility has an advantage in that it supplies the services for the complex of the community mixed-support facility, constitutes the communal character and the sense of solidarity among residents and can lead the development of region through the exchange of regional information. Through the Japanese community mixed-support facility which has many cases of it, this study would recognize the suggestion, the feature of it and examine the complex types.

A Field-based Morphing with Semi-automatic Control Lines Matching Using Image Segmentation (영상 분할을 이용한 반자동 제어선 정합에 의한 필드 기반 모핑)

  • Lee Hyoung-Jin;Kwak No-Yoon
    • Journal of Digital Contents Society
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    • v.5 no.4
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    • pp.269-274
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    • 2004
  • The field based morping requires the user to set most of the control lines manually which require much time and skill to get satisfactory results. This tjesis proposes a method to acquire semi-automation of image morphing through first acquiring shape information from the source image and the target image, than after the user manually designates the least amount of a pair of feature points, these are used as standards for polygon based vertex to set the appropriate control line to the source image and target image, and then using the ratio of control line lengths and space. Using the proposed method the user can reduce the time setting the control line and unskilled persons can get natural image morphing results while desingnating the least amount of control line.

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Environmental Factors Affecting Establishment and Expansion of the Invasive Alien Species of Tree of Heaven (Ailanthus altissima) in Seoripool Park, Seoul

  • Lee, Han-Wool;Lee, Chang-Seok
    • Animal cells and systems
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    • v.10 no.1
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    • pp.27-40
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    • 2006
  • Tree of heaven (Ailanthus altissima Swingle) as an invasive alien plant, appeared usually in the disturbed locations such as road-side, incised slope, and trampling path-side. They appeared abundantly in the trampling pathside but they did not appear or were rare in the interior of forest. Density and importance value of tree of heaven were proportionate to the relative light intensity measured according to distance from the trampling path toward forest interior and closely related to the breadth of trampling path as well. They were associated with annual, other exotic species or ruderal plants well. Distributional pattern of mature trees of them in the study area and its surrounding environments implied that they were introduced intentionally. Size class distribution of them showed that they are in expansion and artificial interferences such as, installing physical training space and developing hiking course functioned as trigger factors in their invasion and expansion. The results support the facts known generally in relation to invasion and expansion of the invasive alien plants. In this viewpoint, we suggest a management plan that applies ecological restoration principles to address ecosystems infected with tree of heaven by restoring the integral feature of the degraded nature and conserving the remained nature more thoroughly.

A Study on Design Guidelines of the Bathroom in House for the Disabled - Focused on the Disabled of Hemiplegia after a Stroke - (장애인이 거주하는 주택의 욕실디자인지침에 관한 연구 - 뇌졸중 이후의 편마비 장애인을 중심으로 -)

  • Lee, Chun-Yeop;Song, Ji-Won
    • Korean Institute of Interior Design Journal
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    • v.16 no.3 s.62
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    • pp.76-84
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    • 2007
  • The interior designs and architectures are definitely important to the disabled because it could improve their independence considerably. Although the design is meaningless if for each disabled's symptom is not considering, the research on design to support detail symptom of each disabled is insufficient. This paper studies the bathroom in house for the disabled of hemiplegia after a stroke. The bathrooms is important space that cause many unnecessary activities and accidents without carefulness. Study method makes framework through principle of universal design and feature of hemiplegia after a stroke. We visit three places where the disabled live in and used qualitative analysis. After checking the present condition of the bathroom, a request and necessity of the disabled through observation and semi-structured interview. According to the result of this study, the obstruction factors were increased when the disabled try to use both hands or to reach and pick up objects, to move and to assist the severe disabled in the bathroom. Finally this study suggests design guidelines based on principle of universal design and factors for better bathroom design for the disabled.

Emotion Recognition Using Template Vector and Neural-Network (형판 벡터와 신경망을 이용한 감성인식)

  • Joo, Young-Hoon;Oh, Jae-Heung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.6
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    • pp.710-715
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    • 2003
  • In this paper, we propose the new emotion recognition method for intelligently recognizing the human's emotion using the template vector and neural network. In the proposed method, human's emotion is divided into four emotion (surprise, anger, happiness, sadness). The proposed method is based on the template vector extraction and the template location recognition by using the color difference. It is not easy to extract the skin color area correctly using the single color space. To solve this problem, we propose the extraction method using the various color spaces and using the each template vectors. And then we apply the back-propagation algorithm by using the template vectors among the feature points). Finally, we show the practical application possibility of the proposed method.