Lie to me: reading hidden emotions

Microexpressions magnified at different levels IEEE researchers have studied micro-expressions: rapid, involuntary facial expressions which reveal emotions that people do not intend to show. This is of extreme importance in forensic science and psychotherapy, and we all remember the TV show Lie to me, which focused on these micro-expressions (MEs). Unlike the pompous TV shows, real-life […]

Rolling in the deep: tracking zebrafish behavior

Neuroscientists and biologists have investigated zebrafish for quite a while, since they have much more in common than meets the eye. There is, of course, one obvious difference: they move in three dimensions while swimming. Therefore, it was interesting to track fish to collect information about the third dimension of depth, which is usually missing […]

Learning new tricks from old dogs: canine gaze tracking

Researchers from the University of Helsinki investigated the similarities and differences in people and dog gazing in interaction. There were various independent studies focusing on canine gazing, but this is the first study that did the comparisons under very similar condition, focusing on dogs’ visual attention in social scenes. The researchers tracked and recorded the eye […]

Lie to me: reading hidden emotions

Microexpressions magnified at different levels IEEE researchers have studied micro-expressions: rapid, involuntary facial expressions which reveal emotions that people do not intend to show. This is of extreme importance in forensic science and psychotherapy, and we all remember the TV show Lie to me, which focused on these micro-expressions (MEs). Unlike the pompous TV shows, real-life […]

Silence of the lambs: facial landmarks on sheep

Researchers from the University of Cambridge have recently presented a method for facial localization not only on humans, but on sheep as well. Introducing a new feature extraction scheme, they managed to show very competitive performance in comparison to other methods. The new scheme is called the triplet-interpolated feature, and it’s used at each iteration […]

Shadow of a doubt: human action recognition from silhouettes

Three logical horizontal level of human silhouette Silhouette is an eponym derived from the name of a French finance minister Étienne de Silhouette who was, in 1759, forced by France’s credit crisis during the Seven Years’ War, to impose sever economic demands upon the French people, particularly the wealth. Because of this austere economy, his […]

Who let the dogs out? Retrieving lost dogs by facial features

Dog dataset examples: pugs are expected to be the hardest to identify, while huskies would be the easiest Researchers from the University of Campinas in Brazil have decided to use computer vision to help people whose pets have gone missing. A moment of distraction is usually enough for unfortunate events like these, and automated visual […]

From Skynet to robots on Mars: computer vision overview

Curiosity saw the cat   Curiosity using computer vision to move around the Martian surface Think about it: Mars is currently the only planet completely populated by robots! And after decades of studying machine learning, they are able to “see” the environment that surrounds them, move around freely while avoiding obstacles, and gather data using their sensory perception in […]

Computer vision and robotic surgery

Centre for Innovation in Information Visualization and Data Driven Design (CIVDDD) is an Ontario Research Fund-Research Excellence grant, under which there is a project called Data Acquisition, Analysis, and Visualization for 3D Computer Vision Surgical Robotics. This project, led by Richard Wildes, is concerned with advancing computer vision and data visualization for image-guided robotic surgery. One of […]

3D selfies created using a convolutional neural network

University of Nottingham and Kingston University cooperation Computer scientists at the University of Nottingham and Kingston University have developed technology that’s capable of producing 3D facial reconstruction from a single 2D image. Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression was led by PhD students Aaron Jackson and Adrian Bulat in […]