Work

GPU-accelerated image alignment for object detection in industrial applications

Year: 2017

Type: conference-paper

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.

Source: International Conference on Advanced Robotics and Intelligent Systems (ARIS)

DOI: 10.1109/aris.2017.8297173

Authors: Trung-Son Le, Chyi-Yeu Lin

Institution: National Taiwan University of Science and Technology

Language: English

Topic: Advanced Image and Video Retrieval Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2789864200

FWCI:

Cites: 23

Cited by: 2

Related to: 10