CVJan 4, 2016

Automatic Detection and Decoding of Photogrammetric Coded Targets

arXiv:1601.00396v110 citations
Originality Synthesis-oriented
AI Analysis

This work addresses efficiency improvements for industries using photogrammetry, but it appears incremental as it builds on existing techniques.

The researchers tackled the problem of automating coded target detection in close-range photogrammetry to improve efficiency, resulting in a method that enhances the process.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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