Doug Higgins
Digital Scholarship Technologist,
Hamilton College
Seeing the Small: Exploring AI-Enhanced Macro Photogrammetry
Tuesday, March 10, 2026 | 3:00PM–3:45PM ET | Ballroom A-C (Exhibit Hall)
Session Type:
Poster Session
Delivery Format:
Poster
We explore how artificial intelligence (AI) enhanced macro-scale photogrammetry accelerates workflows for teaching, learning, and research. Macro photogrammetry applications such as the digitization of fossils, insects, or fine-textured objects present unique challenges, including limited depth of field, inconsistent lighting, and time-intensive post-processing. We investigate how AI tools could streamline and improve each stage of the macro photogrammetry process, from image capture to 3D model generation. We use a variety of AI tools (e.g., Adobe Firefly, Stable Diffusion) to automate common tasks such as background removal, noise reduction, and adaptive color correction for high-fidelity macro imaging. This poster highlights how we use AI to accelerate workflows while maintaining research-level accuracy and precision. In addition, we explore the use of LM Studio and Ollama to develop locally hosted tools that automate aspects of the photogrammetry process. By combining AI with accessible photogrammetry techniques and tools, we demonstrate how AI simplified 3D scanning in the humanities and sciences, enabling faculty, students, and staff to capture, process, and share ultra-detailed 3D models with less time and effort.
