Tag Archives: Classification

Determining familial matches with Facial Recognition

Photo courtesy of UCF

Last month, researchers at the University of Central Florida presented a new facial recognition tool at the IEEE Computer Vision and Pattern Recognition conference in Columbus, Ohio.  While there is no shortage of facial recognition tools used by companies and governments the world over, this one is unique in that its aim is to unite or reunite Continue Reading

Computer Vision aids flow cytometry

Photo courtesy of the USCD Jacob School of Engineering

Engineers at the University of California, San Diego, are using Computer Vision as a means of sorting cells, and thus far have been able to do so at a rate of 38 times faster than before. This process of counting and sorting cells is known as  flow cytometry. The analysis of the cells helps to categorize Continue Reading

Counting grapes with Computer Vision

Photo courtesy of Carnegie Mellon

It’s not secret that Computer Vision is an asset in the agricultural world, yet it’s still interesting to discover the new ways in which it is being put to you. For example, researchers at Carnegie Mellon University’s Robotics Institute published a study demonstrating how visual counting – one of the elementary Computer Vision concepts – Continue Reading

Computer Vision studies bird flocking behavior

Photo courtesy of Andreas Trepte.

Flocking is a behavior exhibited in birds, which is similar to how land animals join together in herds. And while there is an intricate pattern to this flocking, it’s difficult to establish exactly how birds communicate to keep this form. Their movements are synchronous, but the question is: how do birds on the outer edges Continue Reading

Computer Vision aids endangered species conservation efforts

Photo by Dr. Paddy Ryan/The National Heritage Collection

In an effort to help protect and conserve endangered species, scientists have been tracking and tagging them for years. However, there are some species that are either too large in population or too sensitive to tagging, and researchers have been working on another way to track them. Now, thanks to SLOOP, a new computer vision Continue Reading