The Face-Tracking expert witnesses at ForensisGroup are in on this cutting-edge technology that has found its way into consumer smartphones.
Face-recognition systems are commonly used for security purposes and biometrics and are now being introduced in smartphones such as the Apple iPhone X.
Face-tracking uses the human face as a key to security measures. Face-recognition technology examines the similarity between two faces and calculates a difference between their face descriptors and returns a value between 0 (no similarity) and 1 (maximum similarity).
Face-tracking features real-time tracking of multiple faces and facial features in input video or images. Smartphones are implementing this technology due to its light weight which enables high performance across a range of supported platforms.
Our face-tracking experts research topics such as computer vision and machine learning, with an emphasis on tracking eyes and faces; geometric modeling and non-linear optimization for tracking or compact representation of high-dimensional functions; photometric reconstruction of eyes and faces using advanced capture and rendering techniques; statistical modeling of oculomotor systems, and sensor fusion algorithms.
They design, build, and test optics and material prototypes, implement testing methodologies for evaluating new concept performance, and develop assembly techniques for optical and material concepts.
ForensisGroup experts at are at the top of their fields. We carefully evaluate each one to ensure exceptional ability, achievement, and experience, that ensures a quality experience for our clients. We make it easier than ever to find an expert witness with the appropriate professional background. Contact ForensisGroup to find top expert witnesses for your case.
I have more than 20 years experience in the field of Computer Science and Biomedical Engineering with expertise in Electronic Engineering, Computer Vision, Pattern Recognition, Biometrics, Computational Life Sciences, and Non-verbal Human Behavior Understanding. I have additional knowledge in multi-modal biometrics, face recognition, computer vision, pattern recognition, and biomedical image analysis.
I have over 20 years experience in the field of Human Factors Engineering. My extensive experience includes user interface design, software engineering, user centered design, information architecture, user experience, systems engineering, object oriented analysis, complex systems, user interface, and modeling and simulation. I have prior expert witness experience.