• Title/Summary/Keyword: Projection Order

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A Map projection of Daedongyojido (대동여지도의 도법에 관한 연구)

  • ;Kim, Dooil
    • Journal of the Korean Geographical Society
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    • v.29 no.1
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    • pp.39-45
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    • 1994
  • One of the major problems comparing the old map, Daedongyojido, with modern maps in order to measure the spatial error of the map it a projection of the modern map selected. This study focuses on the map projection of Daedongyojido. Three different approaches are used: comparing the spatial pattern of Daedongyojido with maps of different projection, examining materials related to old maps and books which were written by Jeongho Kim directly or indirectly, and the data sets which were available at the mid nineteenth century and could be used for map production. A couple of map projections are possible to that of Daedongyojido, but TM(Transverse Mercator) projection is one of the closest projections.

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Occlusive Face Recognition using the Selective Subspace Projection Method (선택적 부공간 투영 방법을 사용한 가려진 얼굴 인식)

  • Kim, Young-Gil;Song, Young-Jun;Kim, Dong-Woo;Ahn, Jae-Hyeong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.48-52
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    • 2008
  • In this paper, we propose a new selective subspace projection method in order to recognize the occlusive face image effectively. The conventional subspace projection method is project to basis image using a full image of face. The face recognition rate has reduced because the face characteristic is easy to be distorted by occlusion. To overcome this problem, the proposed method first decide to occlusion. If it hasn't an occlusion, we get the feature vectors with total basis projection using the conventional subspace projection method. If it has an occlusion, we get one with partial basis projection. We get better recognition rate than conventional PCA and NMF using AR face database with occlusive face images.

Image Retrieval Considering Distance of Shape Information (형상 정보의 거리를 고려한 영상검색)

  • 권동현;김태선;이태홍
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.187-190
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    • 2001
  • The application of one-dimensional projection to each image enables to obtain shape or spatial information of image. This paper proposes a method that uses relative distances between peaks and their maximum value in the projection vector. In order to verify retrieval performance, the experimental results between the histogram intersection method, the projection only method. and the proposed one are compared and analyzed.

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OBLIQUE PROJECTION OPERATION FOR NEAR OPTIMAL IMAGE RESIZING

  • Lee, Chulhee
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1996.06a
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    • pp.209-212
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    • 1996
  • In this paper, we propose to re-size images using an oblique projection operator instead of the orthogonal one in order to obtain faster, simpler, and more general algorithms. The main advantage is that it becomes perfectly feasible to use higher order models(e.g., splines of degree n 3). We develop the theoretical background and present a simple and practical implementation procedure that uses B-splines. Experiments show that the proposed algorithm consistently outperforms the standard interpolation method and that it essentially provides the same performance as the optimal procedure (least squares solution) with considerably less computations.

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Prediction and Classification Using Projection Pursuit Regression with Automatic Order Selection

  • Park, Heon Jin;Choi, Daewoo;Koo, Ja-Yong
    • Communications for Statistical Applications and Methods
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    • v.7 no.2
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    • pp.585-596
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    • 2000
  • We developed a macro for prediction and classification using profection pursuit regression based on Friedman (1984b) and Hwang, et al. (1994). In the macro, the order of the Hermite functions can be selected automatically. In projection pursuit regression, we compare several smoothing methods such as super smoothing, smoothing with the Hermite functions. Also, classification methods applied to German credit data are compared.

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Pipelined Adaptive Adaptive filters Based on Affine Projection Algorithms with Order 2

  • Muneyasu, Mitsuji;Harada, Takeshi;Hinamoto, Takao
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.171-174
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    • 2000
  • This paper proposes a pipelined adaptive filter based on affine projection algorithm with order 2. This filter gives a better convergence performance than that of LMS or NLMS pipeline algorithm and has same latency with the pipeline algorithm based on equivalent transformation. Compared to the critical path of the pipeline NLMS implementation, only 2 additions are increased in that of the proposed implementation.

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AN EFFICIENT IMPLEMENTATION OF BDM MIXED METHODS FOR SECOND ORDER ELLIPTIC PROBLEMS

  • Kim, J.H.
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.7 no.2
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    • pp.95-111
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    • 2003
  • BDM mixed methods are obtained for a good approximation of velocity for flow equations. In this paper, we study an implementation issue of solving the algebraic system arising from the BDM mixed finite elements. First we discuss post-processing based on the use of Lagrange multipliers to enforce interelement continuity. Furthermore, we establish an equivalence between given mixed methods and projection finite element methods developed by Chen. Finally, we present the implementation of the first order BDM on rectangular grids and show it is as simple as solving the pressure equation.

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Utilization of a Gauss-Seidel Fast Affine Projection Algorithm for Active Noise Control of a 2nd-order Volterra system with a noisy secondary path (GS-FAP 알고리즘 적용한 2차 볼테라 시스템의 능동 소음 제거)

  • Seo, Jae-Beom;Kim, Kyoung-Jae;Nam, Sang-Won
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.395-397
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    • 2007
  • In this paper, a Gauss-Seidel fast affine projection (GS-FAP) algorithm developed for the linear active noise control (ANC) is further utilized for nonlinear ANC of a 2nd-order Volterra systems with a nonlinear primary path and a noisy secondary path. The simulation results, obtained by applying adaptive Volterra filtering, show that the proposed approach yields more stable and faster nonlinear AN.C, compared with the conventional methods for the nonlinear ANC in case of noisy plant models.

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An Empirical Study on Evaluation Criteria of Projection Mapping Videos in Terms of Public Design (공공디자인에 있어 프로젝션 매핑영상의 평가요소에 관한 실증적 연구)

  • Lee, Young Woo
    • Journal of Korea Multimedia Society
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    • v.18 no.8
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    • pp.950-959
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    • 2015
  • The necessity of an empirical study on how projection mapping videos are evaluated from consumers' point of view has arisen, as they can lead to visual pollution if factors including spatial characteristics around the structure and details of the contents are not taken into consideration. This study aims to evaluate projection mapping videos and elucidate the question on whether evaluation criteria positively influence the satisfaction level or not. Above all, five evaluation criteria including artistry, creativity, identity, immersion and usefulness were deducted and a hypothesis from preceding research "each evaluation criteria will positively(+) influence the satisfaction level of projection mapping video" has been established. In order to test the hypothesis, big domestic department stores which screened projection mapping videos were selected and a verification experiment has been conducted with ordinary citizens as subjects. In the result of the experiment, among the five evaluation criteria, artistry, creativity, and usefulness were chosen, while identity and immersion were dismissed. The result verifies that if useful information is provided in forms of interesting contents produced with distinctive ideas and creative methods, it will satisfy the consumers as attractive public design.

An Adaptive Decision-Directed Equalizer using Iterative Hyperplane Projection for SIMO systems (IHP 알고리즘을 이용한 SIMO 시스템용 적응 직접 결정 등화기 연구)

  • Lee Won-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.1C
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    • pp.82-91
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    • 2005
  • This paper introduces an efficient affine projection algorithm(APA) using iterative hyperplane projection. Among various fast converging adaptation algorithms, APA has been preferred to be employed for various applications due to its inherent effectiveness against the rank deficient problem. However, the amount of complexity of the conventional APA could not be negligible because of the accomplishment of sample matrix inversion(SMI). Moreover, the 'shifting invariance property' usually exploited in single channel case does not hold for the application of space-time decision-directed equalizer(STDE) deployed in single-input-multi-output(SIMO) systems. Thus, it is impossible to utilize the fast adaptation schemes such as fast transversal filter(FlF) having low-complexity. To accomplish such tasks, this paper introduces the low-complexity APA by employing hyperplane projection algorithm, which shows the excellent tracking capability as well as the fast convergence. In order to confirm th validity of the proposed method, its performance is evaluated under wireless SIMO channel in respect to bit error rate(BER) behavior and computational complexity.