AIMC Topic: Photogrammetry

Clear Filters Showing 11 to 15 of 15 articles

Deep Learning Applied to Vegetation Identification and Removal Using Multidimensional Aerial Data.

Sensors (Basel, Switzerland)
When performing structural inspection, the generation of three-dimensional (3D) point clouds is a common resource. Those are usually generated from photogrammetry or through laser scan techniques. However, a significant drawback for complete inspecti...

Combining deep learning with 3D stereophotogrammetry for craniosynostosis diagnosis.

Scientific reports
Craniosynostosis is a condition in which cranial sutures fuse prematurely, causing problems in normal brain and skull growth in infants. To limit the extent of cosmetic and functional problems, swift diagnosis is needed. The goal of this study is to ...

Quantifying the effect of Jacobiasca lybica pest on vineyards with UAVs by combining geometric and computer vision techniques.

PloS one
With the increasing competitiveness in the vine market, coupled with the increasing need for sustainable use of resources, strategies for improving farm management are essential. One such effective strategy is the implementation of precision agricult...

Three-dimensional reconstruction of root shape in the moth orchid Phalaenopsis sp.: a biomimicry methodology for robotic applications.

BMC research notes
OBJECTIVE: Within the field of biorobotics, an emerging branch is plant-inspired robotics. Some effort exists in particular towards the production of digging robots that mimic roots; for these, a deeper comprehension of the role of root tip geometry ...

Surface scanning and imaging in craniofacial surgery.

Current opinion in otolaryngology & head and neck surgery
PURPOSE OF REVIEW: This review describes recent innovations in craniofacial imaging, focusing on emerging techniques such as 3D photogrammetry, smartphone-based scanning, and artificial intelligence applied to cephalometric assessments in facial plas...