A Fourier Approach to 3D Local Feature Estimation from Volume Data

This paper describes an estimation and representation method for object structure in 3D image data. A windowed Fourier transform is used to estimate the parameters of 3D local structures (lines, planes and spheres) across a number of window sizes or scales. We present the estimation method and describe a decision process which aims to find the simplest object description. Results of the method on test data and blood vessels from magnetic resonance imaging are presented.

• Type: Conference
• Year: 2001
• Where: BMVC
• Authors: Abhir Bhalerao, Roland Wilson
• Keywords: BMVC 2001, Computer Vision, Representation Method, Simplest Object Description, Windowed Fourier Transform