Local feature detector using 3-point matching and dynamic programming

Abstract

A local feature detection scheme for the recognition of occluded objects is developed and reported in this paper. A 3-point matching algorithm is developed to reduce the local feature matching trial. An elastic matching technique using dynamic programming provides the capability of handling the non-linearly distorted features. Also, the proposed scheme is computationally efficient. A set of handtools is selected to evaluate the performance of the algorithm, and the results are encouraging.