Automatic Detection and Decoding of Photogrammetric Coded Targets
Udaya Wijenayake, Sung-In Choi, Soon-Yong Park
TL;DR
This paper presents an automated method for detecting coded targets in close-range photogrammetry to improve the efficiency of data collection and processing in various industrial applications.
Contribution
The paper introduces a novel automated detection technique for coded targets, enhancing photogrammetric workflows.
Findings
Increased detection accuracy of coded targets.
Reduced processing time in photogrammetric measurements.
Improved automation in photogrammetric data collection.
Abstract
Close-range Photogrammetry is widely used in many industries because of the cost effectiveness and efficiency of the technique. In this research, we introduce an automated coded target detection method which can be used to enhance the efficiency of the Photogrammetry.
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