Hierarchical Contour Shape Analysis

Authors

  • Daniel Alejandro Valdés Amaro Benemérita Universidad Autónoma de Puebla
  • Abhir Bhalerao Department of Computer Science

DOI:

https://doi.org/10.13053/cys-19-2-1935

Keywords:

Shape Analysis, Shape Representation, Gaussian Pyramids, Shape Models, Brain Contours

Abstract

This paper introduces a novel shape representation which performs shape analysis in a hierarchical fashion using Gaussian and Laplacian pyramids. A background on hierarchical shape analysis is given along with a detailed explanation of the hierarchical method, and results are shown on natural contours. A comparisson is performed between the new method and a previously proposed approach using point distribution models with different shape sets. The document concludes with a discussion and proposes ideas on how the new approach may be extended.

Author Biographies

Daniel Alejandro Valdés Amaro, Benemérita Universidad Autónoma de Puebla

Facultad de Ciencias de la ComputaciónProfesor-Investigador

Abhir Bhalerao, Department of Computer Science

Abhir Bhalerao is an Associate Professor (Senior Lecturer) in Computer Science. He joined as staff in 1998 having completed 5 years as a post-doctoral research scientist with the NHS and Kings Medical School, London including two years as a Research Fellow at Harvard Medical School Boston. His research was focussed on applications of image analysis and computer vision techniques to computer aided radiology, data visualization for surgical planning. At Warwick, Dr Bhalerao has been principal and co-investigator on two EPSRC sponsored projects related to multi-resolution segmentation and modelling of vasculature from MR (GR/M82899/01(P)) and use of stochastic methods for statistical image modelling (GR/M75785/01, a project undertaken jointly with Department of Statistics). His current interests are in modelling flow in 3D X-ray imagery, characterisation of the morphology of folding structures in MRI, real-time visualization of tensor data and light-estimation methods from multi-camera scenes. He has published about 70 refereed articles in image analysis, medical imaging, graphics and computer vision. He was the general co-chair and local organiser of the British Machine Vision Conference, 2007. He is the co-founder and was the Research Director of Warwick Warp Ltd., a company specialising in biometric technologies.

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Published

2015-06-01

Issue

Vol. 19 No. 2 (2015): 19(2) April-June 2015

Section

Articles

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