Estimating average growth trajectories in shape-space using kernel smoothing

被引：104
|
作者：
Hutton, TJ
Buxton, BF
Hammond, P
Potts, HWW
机构：
[1] UCL, Eastman Dent Inst Oral Hlth Care Sci, London WC1X 8LD, England
[2] UCL, Dept Comp Sci, London WC1E 6BT, England
[3] UCL, Eastman Dent Inst Oral Hlth Care Sci, Biomed Informat Unit, London WC1X 8LD, England
[4] St Thomas Hosp, Adamson Ctr Mental Hlth, Guys Kings & St Thomas Sch Med, Canc Res UK London Psychosocial Grp, London SE1 7EH, England
来源：
IEEE TRANSACTIONS ON MEDICAL IMAGING | 2003年 / 22卷 / 06期
关键词：
deformable models; facial growth; medical image registration; morphometrics;
D O I：
10.1109/TMI.2003.814784
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, we show how a dense surface point distribution model of the human face can be computed and demonstrate the usefulness of the high-dimensional shape-space for expressing the shape changes associated with growth and aging. We show how average growth trajectories for the human face can be computed in the absence of longitudinal data by using kernel smoothing across a population. A training set of three-dimensional surface scans of 199 male and 201 female subjects of between 0 and 50 years of age is used to build the model.
引用
收藏
页码：747 / 753
页数：7
相关论文
共 11 条
  • [1] Shape-space smoothing splines for planar landmark data
    Kume, Alfred
    [J]. BIOMETRIKA, 2007, 94 (03) : 513 - 528
  • [2] A framework for image segmentation using shape models and kernel space shape priors
    Dambreville, Samuel
    Rathi, Yogesh
    Tannenbaum, Allen
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2008, 30 (08) : 1385 - 1399
  • [3] Shape Classification Using Hilbert Space Embeddings and Kernel Adaptive Filtering
    Blandon, J. S.
    Valencia, C. K.
    Alvarez, A.
    Echeverry, J.
    Alvarez, M. A.
    Orozco, A.
    [J]. IMAGE ANALYSIS AND RECOGNITION (ICIAR 2018), 2018, 10882 : 245 - 251
  • [4] A novel method for estimating ancestral ontogenetic trajectories of shape change using cercopithecine crania as a test case
    Simons, Evan A.
    Frost, Stephen R.
    Singleton, Michelle
    [J]. AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, 2017, 162 : 359 - 360
  • [5] Modeling Longitudinal Count Data: Testing for Group Differences in Growth Trajectories Using Average Marginal Effects
    Mustillo, Sarah
    Landerman, Lawrence R.
    Land, Kenneth C.
    [J]. SOCIOLOGICAL METHODS & RESEARCH, 2012, 41 (03) : 467 - 487
  • [6] Shape-Based Approximation of Constrained Low-Thrust Space Trajectories Using Fourier Series
    Taheri, Ehsan
    Abdelkhalik, Ossama
    [J]. JOURNAL OF SPACECRAFT AND ROCKETS, 2012, 49 (03) : 535 - 545
  • [7] Estimating model-error covariances in nonlinear state-space models using Kalman smoothing and the expectation-maximization algorithm
    Dreano, D.
    Tandeo, P.
    Pulido, M.
    Ait-El-Fquih, B.
    Chonavel, T.
    Hoteit, I.
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2017, 143 (705) : 1877 - 1885
  • [8] Estimating wildfire growth from noisy and incomplete incident data using a state space model
    Podschwit, Harry
    Guttorp, Peter
    Larkin, Narasimhan
    Steel, E. Ashley
    [J]. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 2018, 25 (03) : 325 - 340
  • [9] Statistical methods of estimating average rainfall over large space-timescales using data from the TRMM precipitation radar
    Meneghini, R
    Jones, JA
    Iguchi, T
    Okamoto, K
    Kwiatkowski, J
    [J]. JOURNAL OF APPLIED METEOROLOGY, 2001, 40 (03): : 568 - 585
  • [10] Estimating wildfire growth from noisy and incomplete incident data using a state space model
    Harry Podschwit
    Peter Guttorp
    Narasimhan Larkin
    E. Ashley Steel
    [J]. Environmental and Ecological Statistics, 2018, 25 : 325 - 340
12