Research Projects

Pinned beetle specimens AI model output identifying beetles 3D models of pinned specimens vs raw image

This research explores the use of 3D models generated from museum specimens as synthetic training data for computer vision, with a focus on ground beetles (Carabidae). Using Structure from Motion, a photogrammetric modeling technique, this research seeks to incorporate rare and elusive morphologies into training datasets to improve species identification accuracy. This work focuses on improving biodiversity monitoring and automated species recognition, supporting conservation efforts and ecological studies in remote or challenging environments.

Publications

Depth map image Imaging pattern and site dynamics Animals in camera trap images with bounding boxes

This research explores the use of Structure from Motion to create distance estimations for wildlife sightings from camera trap images. When coupled with automated species identification through computer vision, this presents a clear pathway to fully automated distance estimations — a critical step in acquiring animal abundance estimations for repeatable and cost-effective survey data.

Selected Publications

Thermal monkey image UAV thermal time-sequence comparison UAV thermal field image

This project investigates the application of unmanned aerial vehicles (UAVs) equipped with thermal imaging sensors to detect primates in densely vegetated tropical forest environments. By leveraging the thermal contrast between warm-bodied animals and their cooler surroundings, this approach offers a promising method for overcoming the visual limitations posed by canopy cover and complex forest structure. The study integrates remote sensing methodologies with photogrammetric techniques to enhance spatial accuracy and detection reliability. High-resolution thermal data are georeferenced and processed to identify potential primate signatures, which are then validated against ground-truthed observations or known locations. Ultimately, the project contributes to the development of more efficient, non-invasive survey techniques for primate conservation and broader biodiversity assessments.

Selected Publications