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A Framework for Shape Analysis via Hilbert Space Embedding

Hirimbura Matara (Jayasumana), Gayan (Sadeep); Salzmann, Mathieu; Li, Hongdong; Harandi, Mehrtash

Description

We propose a framework for 2D shape analysis using positive definite kernels defined on Kendall's shape manifold. Different representations of 2D shapes are known to generate different nonlinear spaces. Due to the nonlinearity of these spaces, most existing shape classification algorithms resort to nearest neighbor methods and to learning distances on shape spaces. Here, we propose to map shapes on Kendall's shape manifold to a high dimensional Hilbert space where Euclidean geometry applies. To...[Show more]

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
URI: http://hdl.handle.net/1885/17164
Source: Monocular Image 3D Human Pose Estimation under Self-Occlusion
DOI: 10.1109/ICCV.2013.158

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