Face Recognition

A year ago, when Apple rolled out the iPhone X, one of their most touted features was facial ID. You no longer needed to press a home button or use a passcode. You could unlock your phone with your face. It was the first time I'd really seen facial recognition software being practically used. You probably use something every day with facial recognition software even if you don't realize it--I'm looking at you Snapchat and Instagram face filters.

In this post we are going to develop a java face recognition application using deeplearning4j. The application is offering a GUI and flexibility to register new faces so feel free to try with your own images. Additionally you can check out the free open source code as part of the PactPub video course Java Machine Learning for Computer Vision together with many new improvements to previous posts applications in java. Face recognition has always been an important problem to solve due its sensitivity in regards to security and because it closely related to people identity. For many years face recognition applications were well known especially in criminology and searching for wanted persons with cameras and sometimes even using satellites.

Deepfakes, ultrarealistic fake videos manipulated using machine learning, are getting pretty convincing. And researchers continue to develop new methods to create these types of videos, for better or, more likely, for worse. The most recent method comes from researchers at Carnegie Mellon University, who have figured out a way to automatically transfer the "style" of one person to another. "For instance, Barack Obama's style can be transformed into Donald Trump," the researchers wrote in the description of a YouTube video highlighting the outcome of this method. The video shows the facial expressions of John Oliver transferred to both Stephen Colbert and an animated frog, from Martin Luther King, Jr. to Obama, and from Obama to Trump.

Deepfakes, ultrarealistic fake videos manipulated using machine learning, are getting pretty convincing. And researchers continue to develop new methods to create these types of videos, for better or, more likely, for worse. The most recent method comes from researchers at Carnegie Mellon University, who have figured out a way to automatically transfer the "style" of one person to another. "For instance, Barack Obama's style can be transformed into Donald Trump," the researchers wrote in the description of a YouTube video highlighting the outcome of this method. The video shows the facial expressions of John Oliver transferred to both Stephen Colbert and an animated frog, from Martin Luther King, Jr. to Obama, and from Obama to Trump.

As facial recognition technology use generates intense scrutiny, a new system unveiled at Washington's Dulles airport is being touted as a "user friendly" way to help ease congestion for air travelers. Officials at Dulles unveiled two new face recognition systems Thursday, one to meet legal requirements for biometric entry-exit records, and a second to help speed processing of travelers arriving on international flights by matching their real-time images with stored photos. The growing use of facial recognition has ignited debate over surveillance and privacy around the world, but officials told media this system was a way to help reducing annoying lines and wait times without compromising security. "The technology works," US Customs and Border Protection Commissioner Kevin McAleenan told reporters at an airport unveiling. And we believe it will change the face of international travel."

"SEER" is a compact humanoid robot developed as results of deep research on gaze and human facial expression. The robot is able to focus the gaze directions on a certain point, without being fooled by the movement of the neck. As a result, the robot seems as if it has its own intentions in following and paying attention to its surrounding people and environment. Using a camera censor, whilst tracking eyes it has interactive gaze. In addition, by drawing the curve of the eyebrow using soft elastic wire, I were able to enrich the expression of the robot as if it lives with emotions.

LAST December, Ed Bridges was mingling with the crowds of Christmas shoppers on the streets of Cardiff, UK, when the police snapped a picture of him. He has been trying to get them to delete it ever since. Bridges hasn't been convicted of a crime, nor is he suspected of committing one. He is simply one of a vast number of people who have been quietly added to face-recognition databases without their consent, and most often, without their knowledge.

A creepy AI transfers the facial expressions of one person to another to create eerily realistic'deep fake' videos. The software accurately flips a segment of one video - such as the mouth of a character - to the style of another to create life-like fake clips. A video produced by the team transferred the mouth movements of British comedian John Oliver onto the face of US talk-show host Stephen Colbert. Researchers warned the technology could be used to create fake news clips that falsely put words into the mouths of politicians or other powerful figures. An AI transfers the facial expressions of one person to another to create eerily realistic'deep fake' videos.

Credit institutions are poised to use a combination of artificial intelligence and facial recognition to instantly read the facial expressions of applicants to assess their likelihood of loan repayment. The South China Morning Post reports that Ping An Puhui, a Chinese micro lending unit of China's second-largest life insurer, has developed a digitalized loan process that can "analyse facial expressions of applicants to determine their willingness to repay the loans." The company contends that as a result of using new technologies, including facial recognition and big data, it has seen its customers "more than doubling to 5.5 million from 2 million a year ago," and its loan default rate drop, without the necessity of expanding its staffing. Facial recognition for identity verification and mobile payments just got a big boost with the latest iPhone launch. Thanks to Apple, consumers will become far more accustomed to the use of facial recognition for identity verification and digital payments.

Tech went to Washington this week, and their biggest problems followed them. Twitter CEO Jack Dorsey and Facebook COO Sheryl Sandberg faced Congress, and though Google CEO Larry Paige was invited, he declined to make the trip--a move that didn't ingratiate him with Congressional watchdog Mark Warner. One uninvited guest did make an appearance at the hearings, however: Alex Jones. He heckled Dorsey and a CNN reporter, and was captured by a photographer's lens for what is one of the most perfect (and surreal) photos of 2018. Though Jones' DC antics were mild compared with his past bad behavior, being that physically close to his trolling seems to have finally woken up Dorsey; Twitter permanently banned Jones the next day.