Visage Technologies
Face Tracking & Analysis

Blog

Faces in multimedia images usually exhibit different variations, dramatic expressions and illuminations

September 2, 2015

No more drama! Multimodal face-recognition techniques

Facial recognition algorithms nowadays have problems with extreme facial expressions, especially dramatic ones that appear in multimedia applications, social networks and digital entertainment. For example, various dramatic poses, different illumination or various expressions make things harder for computer algorithms to track and recognize faces. One of these niches with extreme facial gestures is sports – […]

Continue reading →
Top 10 results for matching Boston bombers in an 80-million galery

August 31, 2015

80-million gallery

Social media websites today are a vast gallery of photographs and pictures, and a great challenge for computer vision researchers is to devise algorithms and methods to index, search, track and identify millions of images and other media. That includes face tracking and detection on a large scale. IEEE researchers have devised a method which […]

Continue reading →
Neonatal (newborn) macaque imitating facial expressions

August 27, 2015

Learning to see by moving

Even though motor theories of perception have a long history, there’s has been a little amount of work in computational models of perception that make use of motor information. Nowadays the dominant paradigm in computer vision for learning various features relies on training neural networks to recognize objects using millions of annotated images. It seems […]

Continue reading →
Robot surgery

August 25, 2015

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. […]

Continue reading →
Marion Wolcott: Wadesboro children

August 24, 2015

Who’s behind the camera: computer vision and author identification

Predicting authorship and detecting forgeries has been a long-time application of computer vision in art and science. Humans, as visual beings, have a remarkable ability to draw different conclusions from a piece of artwork, even without formal training, and to obtain information such as: where the artwork takes place, what kind of artist had made […]

Continue reading →
← back  
Go to top