We propose to employ near-infrared (NIR) images for face recognition in reduced illumination or total darkness. A homomorphic processing technique has been developed to effectively reduce the artifact of NIR images [1]. In this paper, we proceed to construct a facial feature detection system that would function independent of the surrounding lighting condition. Firstly, we propose a classificat...

This work compares systematically two optical flow-based facial expression recognition methods. The first one is featural and selects a reduced set of highly discriminant facial points while the second one is holistic and uses much more points that are uniformly distributed on the central face region. Both approaches are referred as feature point tracking and holistic face dense flow tracking, ...

Emotion classification is a task that the human vision system seems to perform almost effortlessly, yet the goal of building computer-based systems with the ability to perceive and respond to human nonverbal communication has proven to be difficult. The task implicitly requires the ability to recognize the superior expression of the human face. Classification of the unknown emotion is another t...

We consider two novel representations and feature extraction schemes for automatic recognition of emotion related facial expressions. In one scheme facial landmark points are tracked over successive video frames using an effective detector and tracker to extract landmark trajectories. Features are extracted from landmark trajectories using Independent Component Analysis (ICA) method. In the alt...

Facial Expression detection or Emotion Recognition is one of the rising fields of research on intelligent systems. Emotion plays a significant role in non-verbal communication. An efficient face and facial feature detection algorithms are required to detect emotion at that particular moment. The paperpresents a new approach to the problem of extracting the facial components from a still facial ...

Preparing a facial mesh to be animated requires a laborious manual rigging process. The rig specifies how the input animation data deforms the surface and allows artists to manipulate a character. We present a method that automatically rigs a facial mesh based on Radial Basis Functions (RBF) and linear blend skinning approach. Our approach transfers the skinning parameters (feature points and t...

Facial muscle micro movements for eight emotions were induced via visual and auditory stimuli and were verified according to sex. Thirty-one main facial features were chosen from the Kinect API out of 121 initially obtained facial features; the average change of pixel value was measured after image alignment. The proposed method is advantageous as it allows for comparisons. Facial micro-express...

Facial expressions convey non-verbal cues, which play an important role in interpersonal relations. Facial expressions recognition technology helps in designing an intelligent human computer interfaces. This paper discusses a three phase technique for the facial expression recognition of the Indian faces. In the first phase the faces are tracked using Haar classifier in the live videos of India...

Facial motions produce not only facial feature points motions, but also subtle appearance changes such as wrinkles and shading changes. These subtle changes are important yet difficult issues for both analysis (tracking) and synthesis (animation). Previous approaches were mostly based on models learned from extensive training appearance examples. However, the space of all possible facial motion...

The quick advances in key computing technologies, the heightened user expectation of computer interfaces, and the ever-increasing complexity of applications, have made the development of emotionally intelligent interfaces both necessary and possible. Indeed, the true strength of facial expression recognition shows when seamlessly integrated into mainstream interfaces enabling applications to ad...