GPU-accelerated image alignment for object detection in industrial applications

TL;DR

This paper introduces a GPU-accelerated image alignment method with a robust similarity measure for detecting featureless objects in industrial settings, demonstrating improved performance over CPU implementations.

Contribution

It presents a novel GPU-based image alignment technique with a robust similarity measure tailored for industrial object detection.

Findings

GPU implementation outperforms CPU in speed

Method is robust against occlusion and lighting changes

Effective for featureless object detection

Abstract

This research proposes a practical method for detecting featureless objects by using image alignment approach with a robust similarity measure in industrial applications. This similarity measure is robust against occlusion, illumination changes and background clutter. The performance of the proposed GPU (Graphics Processing Unit) accelerated algorithm is deemed successful in experiments of comparison between both CPU and GPU implementations