Electrical and Computer Engineering

ECE4: Team ANTS

Automatic Rigging of 3D Ant Models from CT

Team ANTS project image
A reposed ant model generated by our posing algorithm, rendered in Blender with realistic lighting.

Project Description:

Advancements in Micro-CT scanning have unlocked new opportunities for studying biology. AntScan is a database of over 2000 scans of ants used by entomologists to study the diversity and evolution of ant species. Each of these scans was converted into a static 3D model for visualization. These scans and models are incredibly detailed, but the majority of the specimens are in crumpled or unnatural poses. Researchers can create interactive and articulable 3D models to analyze specimens, but they must be done manually, which is a tedious and time consuming process. We built an automated pipeline that converts static ant models into rigged, poseable 3D models directly from cues such as skeleton structure, thickness, and curvature. This transforms a process that might take hours by hand to one that automatically runs in minutes.

Advisor/Instructor:

Dr. James Purtilo

Sponsor:

Dr. Evan Economo

Team Members:

Jayun Chen Electrical and Computer Engineering
Jaxson Grable Electrical and Computer Engineering
James Liao Electrical and Computer Engineering
Bijan Tahmassebi Electrical and Computer Engineering
Benjamin Magnus Westgard Electrical and Computer Engineering

Table #:

C4
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