home projects vita group
Eye and Head Animationsdata-driven synthesis algorithms for realistic and coordinated eye and head movements
Visual Speech Animation Synthesisgenerate expressive visual speech animations based on novel typed or spoken input
Facial Animation Editing and Transferringefficient and automated algorithms and systems for editing and transferring facial motions across different models or modalities
Blendshape Animationalgorithms for automating or reducing time-consuming tuning efforts of the blendshape animation approach that has been widely used in industry practice
Character Motion Compression and Retrievaleffective algorithms for compressing and retrieving character motions by hierarchically extracting meaningful motion patterns from dataset
Improving Gaming Experience by Incorporating Physiological Feedbacknovel methodology to improve users' gaming experience by monitoring their physiological signals and thus automatically adjusting the difficulty level of computer games
Papers:
CHI'09
|
Interactive Teeth Segmentationinteractive geometric algorithm to accurately segment the upper and lower teeth that are 3D models reconstructed from 2D CT dental images
Intermittency of Slow Arm Movementsinvestigate two potential sources for the origins of movement intermittency and conclude that intermittency is more likely due to noise in the neuromuscular system
Papers:
IROS'09
Image-based Face Illumination Transferan image-based technique that transfers illumination from a source face image to a target face image, without any prior information regarding the lighting conditions or the 3D geometries of the underlying faces
Papers:
TVCJ'09
Online Mocap Marker Labeling for Interacting TargetsAn online, automated mocap marker labeling approach for multiple interacting articulated targets by fitting rigid bodies and exploiting trained structure and motion modelsRegion-Significance and Culture-Dependence of Synthetic Facial Expressionsinvestigate the region-significance and culture-dependence such as in terms of subject identification and emotion perception of 3D facial expression visual perception
Analysis of Mutimodal Emotion Recognitionanalyze the strengths and the limitations of systems based on facial expressions, acoustic information, or both channels
Papers:
ICMI'04
|
Our Generous Sponsors
![]() University of Houston |
![]() National Science Foundation |
![]() Texas Norman Hacker Advanced Research Program |
![]() The Methodist Hospital |
![]() NVIDIA Inc. |
VICON Motion System Inc. |
![]() Institute for Biomedical Imaging Sciences |





