Tag Archives: Humans Vs. Computers

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

Grammar-like algorithm identifies actions in video

Photo courtesy of http://www.freeimages.co.uk/

Body language is a powerful thing, allowing us to gauge the tone and intention of a person, often without accompanying words. But is this a skill that is unique to humans, or are computers also capable of being intuitive? To date, picking up on the subtext of a person’s movements is still not something machines 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

VISAPP Computer Vision conference extends submission deadline

VISAPP_2014_conference_logo

Computer Vision is an interesting kind of technology in many ways, but perhaps one of the most notable things about it is how applicable it is and can be in our every day lives. And although it’s not necessarily a “new” field, it is something that is gaining popularity and recognition in the lives of 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