Key-Point-Descriptor-Based Image Quality Evaluation in Photogrammetry Workflows
Dalius Matuzevičius,
Vytautas Urbanavičius,
Darius Miniotas
et al.
Abstract:Photogrammetry depends critically on the quality of the images used to reconstruct accurate and detailed 3D models. Selection of high-quality images not only improves the accuracy and resolution of the resulting 3D models, but also contributes to the efficiency of the photogrammetric process by reducing data redundancy and computational demands. This study presents a novel approach to image quality evaluation tailored for photogrammetric applications that uses the key point descriptors typically encountered in… Show more
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