OTHER
Evaluation of SIFT in machine vision applied to industrial automation
Gunter N. Loch, Charbel Szymanski, Marcelo Ricardo Stemmer
- Year
- 2013
- Citations
- 11
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.
Keywords
Scale-invariant feature transformAutomationComputer scienceArtificial intelligenceMachine visionRobotComputer visionRobot visionIndustrial robotFeature (linguistics)
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