Silhouette recognition using high-resolution pursuit

This paper introduces a simple new approach to object recognition from silh ouettes. This new approach utilizes features extracted using an adaptive ap proximation technique called high-resolution pursuit (HRP). In this work, a comparatively small set of HRP features and a simple recognition scheme ar e used. We demonstrate the strengths of the HRP-based recognition scheme by discriminating among 17 military aircraft. The HRP-based algorithm matches the performance of a widely studied method based on Fourier descriptors in the presence of boundary, scale and orientation variations, and surpasses the performance of the Fourier descriptor-based algorithm in the presence o f occlusion and localized silhouette variations. (C) 1999 Pattern Recogniti on Society. Published by Elsevier Science Ltd. All rights reserved,