• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.444-448
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• 2003

In this paper, the Lagrange dynamics is studied. A state space representation of Lagrange dynamics and control algorithm based on the state feedback pole placement are presented. The state space model presented is descriptor type linear parameter dependent system. It is shown that the control algorithms based on the linear system theory can be applicable to the state space representation of Lagrange dynamics. To show that the linear system theory can be applicable to the state space representation of Lagrange dynamics, the LMI based regional pole-placement design algorithm is developed and present two examples.

• 지능정보연구
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• 제12권1호
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• pp.95-105
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• 2006

본 논문에서는 영상을 비전 중심점 이동에 따라 정밀하게 표현할 수 있는 형태 기술자를 제안하고, 이를 이용하여 영상이 표현되는 방법을 조사하였다. 제안된 기술자는 영역의 중심점에 모든 영역의 크기가 집중되어 있도록 표현하는 방법이며, 이 비전의 중심점을 다른 관심영역으로 이동시킴으로써 좀 더 정밀한 영상표현도 가능하게 되었다. 이는 또한 영역의 크기 정보를 포함하고 있어서 더욱 효과적이다. 영상의 윤곽선이 제안된 기술자에 의해 정밀하게 표현될수록 영상 내용 검색 등에는 더욱 효과적으로 이용될 수 있다. 제안된 형태 기술자는 정규화가 가능하여 크기, 위치, 회전에 무관하게 표현될 수 있으며, 일정한 영상 패턴으로 구성된 데이터베이스 시스템을 만들 수 있다. 제안된 형태 기술자를 이용하여 실루엣 영상 검색에 적용하여 실험하였으며, 실험 결과, 영상 표현에 효과적으로 사용될 수 있음을 보였다.

• International Journal of Control, Automation, and Systems
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• 제2권2호
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• pp.182-188
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• 2004

This paper presents a design method of delay-dependent control for T-S fuzzy systems with time delays. Based on parallel distributed compensation (PDC) and a descriptor model transformation of the system, a delay-dependent control is utilized. An appropriate Lyapunov-Krasovskii functional is chosen for delay-dependent stability analysis. A sufficient condition for delay-dependent control is represented in terms of linear matrix inequalities (LMIs).

• 한국멀티미디어학회논문지
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• 제20권5호
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• pp.758-768
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• 2017

In this paper, we present a novel method to extract face representation based on multi-resolution spatial pyramid. In our method, a face is subdivided into increasingly finer sub-regions (local regions) and represented at multiple levels of histogram representations. To cope with misaligned problem, patch-based local descriptor extraction has been also developed in a novel way. To preserve multiple levels of detail in local characteristics and also encode holistic spatial configuration, histograms from all levels of spatial pyramid are integrated by using dimensionality reduction and feature combination, leading to our spatial-pyramid face feature representation. We incorporate our proposed face features into general face recognition pipeline and achieve state-of-the-art results on challenging face recognition problems.

• ETRI Journal
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• 제40권4호
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• pp.499-510
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• 2018

A vector space based augmented structural kinematic (VSASK) feature descriptor is proposed for human activity recognition. An action descriptor is built by integrating the structural and kinematic properties of the actor using vector space based augmented matrix representation. Using the local or global information separately may not provide sufficient action characteristics. The proposed action descriptor combines both the local (pose) and global (position and velocity) features using augmented matrix schema and thereby increases the robustness of the descriptor. A multiclass support vector machine (SVM) is used to learn each action descriptor for the corresponding activity classification and understanding. The performance of the proposed descriptor is experimentally analyzed using the Weizmann and KTH datasets. The average recognition rate for the Weizmann and KTH datasets is 100% and 99.89%, respectively. The computational time for the proposed descriptor learning is 0.003 seconds, which is an improvement of approximately 1.4% over the existing methods.

• 한국정보과학회논문지:소프트웨어및응용
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• 제32권11호
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• pp.1013-1020
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• 2005

본 논문은 모양 특성을 이용한 효과적인 식물 잎 이미지 검색 시스템을 제시한다. 잎 이미지의 더 효과적인 표현을 위해 개선된 MPP 알고리즘을 제안하고, 매칭에 소요되는 시간을 줄이기 위해 기존의 Nearest Neighbor(NN) 검색을 수정한 동적인 매칭 알고리즘을 제시한다. 특히, 더 나은 정확율과 효율성을 위해, 잎 모양과 잎차례를 스케치하여 질의할 수 있도록 하였다. 실험에서는 제안한 알고리즘과 기존의 알고리즘인 CCD(Centroid Contour Distance), Fourier Descriptor. Curvature Scale Space Descriptor (CSSD), Moment Invariants, MPP와 비교하였다. 1000여개의 식물 잎 이미지를 통한 실험결과는 제안한 방법이 기존의 기법보다 더 좋은 성능임을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권3호
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• pp.305-323
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• 2010

This paper proposes an efficient and yet powerful local descriptor called phase-space partition based descriptor (PPD). This descriptor is designed for the mobile image matching and retrieval. PPD, which is inspired from SIFT, also encodes the salient aspects of the image gradient in the neighborhood around an interest point. However, without employing SIFT's smoothed gradient orientation histogram, we apply the region based gradient statistics in phase space to the construction of a feature representation, which allows to reduce much computation requirements. The feature matching experiments demonstrate that PPD achieves favorable performance close to that of SIFT and faster building and matching. We also present results showing that the use of PPD descriptors in a mobile image retrieval application results in a comparable performance to SIFT.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권12호
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• pp.4513-4532
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• 2014

Motivated by the Weber's Law, this paper proposes an efficient and robust shape descriptor based on the perceptual stimulus model, called Weber's Law Shape Descriptor (WLSD). It is based on the theory that human perception of a pattern depends not only on the change of stimulus intensity, but also on the original stimulus intensity. Invariant to scale and rotation is the intrinsic properties of WLSD. As a global shape descriptor, WLSD has far lower computation complexity while is as discriminative as state-of-art shape descriptors. Experimental results demonstrate the strong capability of the proposed method in handling shape retrieval.

• Journal of information and communication convergence engineering
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• 제11권2호
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• pp.124-131
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• 2013

Extraction and representation of postures and/or gestures from human activities in videos have been a focus of research in this area of action recognition. With various applications cropping up from different fields, this paper seeks to improve the performance of these action recognition machines by proposing a shape-based silhouette-edge descriptor for the human body. Information entropy, a method to measure the randomness of a sequence of symbols, is used to aid the selection of vital key postures from video frames. Morphological operations are applied to extract and stack edges to uniquely represent different actions shape-wise. To classify an action from a new input video, a Hausdorff distance measure is applied between the gallery representations and the query images formed from the proposed procedure. The method is tested on known public databases for its validation. An effective method of human action annotation and description has been effectively achieved.

• 한국컴퓨터그래픽스학회논문지
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• 제16권2호
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• pp.29-37
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• 2010

본 논문에서는 얼굴의 3차원 스캔 데이터로부터 특징을 고려하여 비대칭적인 요소를 완화시키는 대칭적 변형 기법을 제안한다. 이를 위해 얼굴의 전체 윤곽뿐만 아니라 세밀한 영역까지 다룰 수 있는 얼굴의 특징점과 표면 곡률에 기초한 새로운 3차원 형상 기술자(shape descriptor)를 개발하였다. 개발된 형상 기술자는 이상적인 대칭 평면을 정의하여 정확한 대칭쌍 정점을 결정할 수 있기 때문에, 보다 정교하게 3차원 얼굴의 대칭성을 향상 시킬 수 있다. 또한 변형을 위한 모든 단계에서 처리를 쉽게 하도록 포인트 기반 표현법을 사용하였다. 마지막으로 제안한 대칭적 변형 기법을 통해 얼굴의 비대칭성을 감소시킴으로써 얼굴에 대한 호감도를 향상시킬 수 있다는 것을 통계적으로 검증하였다.