Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

DeepDyve requires Javascript to function. Please enable Javascript on your browser to continue.

Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications

Part of the SpringerBriefs in Statistics Book Series

DOI: 10.1007/978-3-319-26311-3

ISBN: 978-3-319-26310-6

Publisher: Springer International Publishing - Springer Journals

Feb 12, 2016

Available

Basic Concepts and Definitions

Brombin, Chiara; Salmaso, Luigi; Fontanella, Lara; Ippoliti, Luigi; Fusilli, Caterina

Pages: 3 –13

[The shape of an object is the geometrical information remaining after the effects of changes in location, scale and orientation have been removed. Information about the objects may come in different forms, for example as a set of landmarks or as a continuous outline. In this chapter we consider...
Available

Shape Inference and the Offset-Normal Distribution

Brombin, Chiara; Salmaso, Luigi; Fontanella, Lara; Ippoliti, Luigi; Fusilli, Caterina

Pages: 15 –31

[In this chapter we work directly with the offset-normal shape distribution as a probability model for statistical inference on a sample of landmark configurations. This enables inference for induced Gaussian processes from configurations onto the shape space. Following Kume and Welling (J Comput...
Available

Dynamic Shape Analysis Through the Offset-Normal Distribution

Brombin, Chiara; Salmaso, Luigi; Fontanella, Lara; Ippoliti, Luigi; Fusilli, Caterina

Pages: 33 –56

[Statistical analysis of dynamic shapes is a problem with significant challenges due to the difficulty in providing a description of the shape changes over time, across subjects and over groups of subjects.]
Available

Parametric and Non-parametric Testing of Mean Shapes

Brombin, Chiara; Salmaso, Luigi; Fontanella, Lara; Ippoliti, Luigi; Fusilli, Caterina

Pages: 59 –72

[This chapter deals with inferential aspects in shape analysis. At first we review inferential methods known in the shape analysis literature, highlighting some drawbacks of using Hotelling’s T2 test statistic. Then we present an extension of the NonParametric Combination (NPC) methodology to...
Available

Applications of NPC Methodology

Brombin, Chiara; Salmaso, Luigi; Fontanella, Lara; Ippoliti, Luigi; Fusilli, Caterina

Pages: 73 –103

[In this Chapter, we show by means of a motivating example related to the analysis of the FG-NET database, that NonParametric Combination (NPC) tests can be effective tools when testing whether there is a difference between dynamics of facial expressions or testing which of the landmarks are more...

results per page

Prev
1
Next

Browse All eBooks