Peng Liu

Binghamton University | SUNY Binghamton · Department of Computer Science

In this paper we propose a novel method for detecting and tracking facial landmark features on 3D static and 3D dynamic (a.k.a. 4D) range data. Our proposed method involves fitting a shape index-based statistical shape model (SI-SSM) with both global and local constraints to the input range data. Our proposed model makes use of the global shape of...

The existing approaches to automatic emotion analysis rely mostly on visible spectrum data, and very few works have been reported using thermal data for spontaneous facial expression analysis. In this paper, we present a novel infra-red thermal video descriptor in order to improve spontaneous emotion recognition. We first represent each thermal vid...

Facial expression is central to human experience. Its efficiency and valid measurement are challenges that automated facial image analysis seeks to address. Most publically available databases are limited to 2D static images or video of posed facial behavior. Because posed and un-posed (aka “spontaneous”) facial expressions differ along several dim...

Head pose is an important indicator of a person's attention, gestures, and communicative behavior with applications in human-computer interaction, multimedia, and vision systems. Robust head pose estimation is a prerequisite for spontaneous facial biometrics-related applications. However, most previous head pose estimation methods do not consider t...

True immersion of a player within a game can only occur when the world simulated looks and behaves as close to reality as possible. This implies that the game must correctly read and understand, among other things, the player's focus, attitude toward the objects/persons in focus, gestures, and speech. In this paper, we proposed a novel system that...

Facial expression is central to human experience. Its efficient and valid measurement is a challenge that automated facial image analysis seeks to address. Most publically available databases are limited to 2D static images or video of posed facial behavior. Because posed and un-posed (aka "spontaneous") facial expressions differ along several dime...

Head pose is an important indicator of a person's attention, gestures, and communicative behavior with applications in human computer interaction, multimedia and vision systems. In this paper, we present a novel head pose estimation system by performing head region detection using the Kinect [2], followed by face detection, feature tracking, and fi...

True immersion of a user within a game is only possible when the world simulated looks and behaves as close to reality as possible. This implies that the game must ascertain, among other things, the user’s focus and his/her attitude towards the object or person focused on. As part of the effort to achieve this goal, we propose an eye gaze, head pos...