Determination of parameters of quaternion signal transformation using filtering results

被引:0
|
作者
Furman Ya.A. [1 ]
机构
[1] Mari State Technical University, Ioshkar Ola, 424000
来源
Pattern Recogn. Image Anal. | 2008年 / 3卷 / 473-484期
基金
俄罗斯基础研究基金会;
关键词
Axis of rotation - Determination of parameters - Filter input - Filtered signals - Quaternion signals - Rotation angles - Rotation transformation - Spherical coordinate systems;
D O I
10.1134/S1054661808030176
中图分类号
学科分类号
摘要
The solution of the problem of determining the parameters of transformation of the image of a spatial polyhedron using the results of its filtering is considered. The body is represented by the coordinates of its vertices and is described in the form of the quaternion signal. Each quaternion determines the vector connecting the pole with one of the vertices. The filter is related to the polyhedron of a certain class and produces the values of the measure of likelihood with the filtered polyhedron which is subject to the rotation transformation with unknown parameters before it is sent to the filter input. The expressions for determination of the parameters of each vector of the filtered signal in the spherical coordinate system and the values of the rotation angle and the axis of rotation common for the entire filtered signal are obtained. © 2008 Pleiades Publishing, Ltd.
引用
收藏
页码:473 / 484
页数:11
相关论文
共 50 条
  • [41] Determination of diagnostic parameters in the BAEP signal analysis
    Bulka, J
    Wochlik, I
    Izworski, A
    Bania, P
    6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XIII, PROCEEDINGS: CONCEPTS AND APPLICATIONS OF SYSTEMICS, CYBERNETICS AND INFORMATICS III, 2002, : 584 - 587
  • [42] DETERMINATION OF ARTICULATORY PARAMETERS FROM SPEECH SIGNAL
    ATAL, BS
    HARTMAN, JE
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1972, 52 (01): : 182 - &
  • [43] Kalman Filtering for Microsatellite Attitude Determination In Orbit Results
    Mohammed, A. M. Si
    Boudjemai, A.
    Bentoutou, Y.
    Bellar, A.
    Roubache, R.
    Taleb, N.
    PROCEEDINGS OF 6TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES (RAST 2013), 2013, : 383 - 387
  • [44] Optimal signal filtering by rms error minimum for a channel with random parameters
    Ivanov, M.P.
    Kashinov, V.V.
    Avtometriya, 2001, (06): : 62 - 68
  • [45] Adaptive spatial filtering in partial and complete a priori signal parameters uncertainty
    Marchuk, L.A.
    Izvestiya VUZ: Radioelektronika, 1996, 39 (06): : 38 - 46
  • [46] ONLINE ESTIMATION OF SIGNAL AND NOISE PARAMETERS WITH APPLICATION TO ADAPTIVE KALMAN FILTERING
    WOJCIK, PJ
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 1991, 10 (02) : 137 - 152
  • [47] Determining the parameters of a random telegraph signal by digital low pass filtering
    Singh, Shilpi
    Mannila, Elsa T.
    Golubev, Dmitry S.
    Peltonen, Joonas T.
    Pekola, Jukka P.
    APPLIED PHYSICS LETTERS, 2018, 112 (24)
  • [48] Pose and motion estimation using dual quaternion-based extended Kalman filtering
    Goddard, JS
    Abidi, MA
    THREE-DIMENSIONAL IMAGE CAPTURE AND APPLICATIONS, 1998, 3313 : 189 - 200
  • [49] Contour Determination Method for Threshold of Morphological Filtering Key Parameters
    Xing Chengbin
    Deng Xingsheng
    Xu Kang
    LASER & OPTOELECTRONICS PROGRESS, 2019, 56 (16)
  • [50] Improvement of the ultra-trace voltammetric determination of Rh in environmental samples using signal transformation
    Almecija, C.
    Cobelo-Garcia, A.
    Santos-Echeandia, J.
    TALANTA, 2016, 146 : 737 - 743