Evaluation of SIFT in machine vision applied to industrial automation

Abstract

This paper presents an evaluation of the SIFT (Scale-Invariant Feature Transform) algorithm against two scenarios related to industrial automation. The first one is related to automated inspection systems. The second scenario describes a vision-based robot and vehicle navigation. The evaluation was performed in the sense of verifying if SIFT complies with the requirements of both scenarios, and identify how this is done.