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Principal geodesic analysis

Known as: Geodesic (disambiguation), PGA 
In geometric data analysis and statistical shape analysis, principal geodesic analysis is a generalization of principal component analysis to a non… 
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Related topics

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Broader (2)

Digital geometryImage processing
Principal component analysisShape analysis (digital geometry)Statistical shape analysis

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Conformational Transitions and Principal Geodesic Analysis on the Positive Semidefinite Matrix Manifold
Given an initial and final protein conformation, generating the intermediate conformations provides important insight into the… 
2013
2013
Action recognition based on principal geodesic analysis
In this paper, we consider the action recognition problem based on geometrical structure. Our method uses a low dimensional… 
2011
2011
Combining Probabilistic Shape-from-Shading and Statistical Facial Shape Models
Shape-from-shading is an interesting approach to the problem of finding the shape of a face because it only requires one image… 
2008
2008
Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification
In this paper, we perform gender classification based on facial surface normals (facial needle-maps). We improve our previous… 
2007
2007
Weighted Principal Geodesic Analysis for Facial Gender Classification
In this paper, we describe a weighted principal geodesic analysis (WPGA) method to extract features for gender classification… 
2007
2007
Face Recognition Using Principal Geodesic Analysis and Manifold Learning
This paper describes how face recognition can be effected using 3D shape information extracted from single 2D image views. We… 
2007
2007
Principal Geodesic Analysis for the Study of Nonlinear Minimum Description Length
The essential goal for Statistical Shape Model (SSM) is to describe and extract the shape variations from the landmarks cloud. A… 
2007
2007
Facial Shape-from-Shading Using Principal Geodesic Analysis and Robust Statistics
In this paper we make two contributions to the problem of recovering surface shape from single images of faces. The first of… 
2006
2006
Gender Classification Using Principal Geodesic Analysis and Gaussian Mixture Models
The aim in this paper is to show how to discriminate gender using a parameterized representation of fields of facial surface… 
2006
2006
Robust interpolation of DT-MRI data using Tensor Splines
In this paper, we present a novel and robust spline interpolation algorithm given a noisy symmetric positive definite (SPD… 
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