Team designs model to automatically detect shadows in aerial images
A Mizzou Engineering team has designed a physics-based model to automatically detect shadows in large-scale aerial images.
Engineering team develops system to segment, track cells from images
A Mizzou Engineering team won a Best Paper Award at an international workshop for work around detecting and tracking cells in microscopy videos.
Mizzou Engineer develops software tool to investigate root growth
A Mizzou Engineer has developed a software tool that could enable farmers to develop crop cultivars that are drought resistant, ensuring roots can reach falling water tables, adapt to warmer temperatures and be more resilient to environmental changes.
Mapping the Cities of the World One Building at a Time from Space
A group of four computer science PhD students in the Computational Imaging and VisAnalysis Lab at Mizzou Engineering took the top spot in the graduate student category at the 24th Conference on Neural and Information Processing Systems SpaceNet 7 competition.
CAVE to Provide Immersive Virtual Experience
Imagine studying a protein by walking through its three-dimensional structure. Or researching traffic patterns by standing alongside a virtual highway. Or safely exploring the structural integrity of a house while it’s on fire. Mizzou Engineers will soon have the capability to do these things, thanks to a CAVE opening this year in Lafferre Hall.
Mizzou Engineering Hosts Virtual AIPR Conference
Mizzou Engineering hosted the 49th annual Applied Imagery Pattern Recognition (AIPR) conference last week, proving that a virtual event can be just as robust as meeting in person.
Team Devising Way to Analyze Images from Drone Footage
Imagine being able to assess the health of a single plant in the middle of a field by automatically analyzing a photo of it. The technology exists today by capturing aerial video footage with a drone, but it’s not practical. Now, a Mizzou Engineering team is devising a way to more efficiently create high-resolution panoramic-style images that can be used to make timely decisions on the farm.