Abstract by Dillon Harris
3D imaging for insect recognition in computer vision
Being able to quickly and accurately has become an increasingly important aspect of computer science. There are many techniques that have been used and that are currently being used to allow computers to identify objects. One such technique that our research will be exploring is the use of 3D imaging. We will be using multiple machine vision cameras to do so. By exploring image recognition in the 3D realm we expect to be able to identify objects at a much higher rate of accuracy and precision. By doing so we hope to not only identify what kind of insect we are looking at, but also report basic info about the insect such as number and legs and leg segments, wings or no wings, mandibles, number of body segments, antennae and feelers, etc.