Active Learning for Interactive Audio-Animatronic Performance Design
Castellon, J., Bächer, M., McCrory, M., Ayala, A., Stolarz, J., & Mitchell, K. (2020)
Active Learning for Interactive Audio-Animatronic Performance Design. The Journal of Computer Graphics Techniques, 9(3), 1-19
We present a practical neural computational approach for interactive design of Audio-Animatronic® facial performances. An offline quasi-static reference simulation, driven by ...
Improving VIP viewer Gaze Estimation and Engagement Using Adaptive Dynamic Anamorphosis
Pan, Y., & Mitchell, K. (2021)
Improving VIP viewer Gaze Estimation and Engagement Using Adaptive Dynamic Anamorphosis. International Journal of Human-Computer Studies, 147, https://doi.org/10.1016/j.ijhcs.2020.102563
Anamorphosis for 2D displays can provide viewer centric perspective viewing, enabling 3D appearance, eye contact and engagement, by adapting dynamically in real time to a sing...
Synthetic Prior Design for Real-Time Face Tracking
McDonagh, S., Klaudiny, M., Bradley, D., Beeler, T., Matthews, I., & Mitchell, K. (2016)
Synthetic Prior Design for Real-Time Face Tracking. In 2016 Fourth International Conference on 3D Vision (3DV),https://doi.org/10.1109/3dv.2016.72
Real-time facial performance capture has recently been gaining popularity in virtual film production, driven by advances in machine learning, which allows for fast inference o...
Real-time Physics-based Motion Capture with Sparse Sensors
Andrews, S., Huerta, I., Komura, T., Sigal, L., & Mitchell, K. (2016)
Real-time Physics-based Motion Capture with Sparse Sensors. In Proceedings of the 13th European Conference on Visual Media Production (CVMP 2016)https://doi.org/10.1145/2998559.2998564
We propose a framework for real-time tracking of humans using sparse multi-modal sensor sets, including data obtained from optical markers and inertial measurement units. A sm...
IRIDiuM: immersive rendered interactive deep media
Koniaris, B., Israr, A., Mitchell, K., Huerta, I., Kosek, M., Darragh, K., …Moon, B. (2016)
IRIDiuM: immersive rendered interactive deep media. https://doi.org/10.1145/2929490.2929496
Compelling virtual reality experiences require high quality imagery as well as head motion with six degrees of freedom. Most existing systems limit the motion of the viewer (p...
Stereohaptics: a haptic interaction toolkit for tangible virtual experiences
Israr, A., Zhao, S., McIntosh, K., Schwemler, Z., Fritz, A., Mars, J., …Mitchell, K. (2016)
Stereohaptics: a haptic interaction toolkit for tangible virtual experiences. In SIGGRAPH '16: ACM SIGGRAPH 2016 Studio. https://doi.org/10.1145/2929484.2970273
With a recent rise in the availability of affordable head mounted gear sets, various sensory stimulations (e.g., visual, auditory and haptics) are integrated to provide seamle...
User, metric, and computational evaluation of foveated rendering methods
Swafford, N. T., Iglesias-Guitian, J. A., Koniaris, C., Moon, B., Cosker, D., & Mitchell, K. (2016)
User, metric, and computational evaluation of foveated rendering methods. In SAP '16 Proceedings of the ACM Symposium on Applied Perception. https://doi.org/10.1145/2931002.2931011
Perceptually lossless foveated rendering methods exploit human perception by selectively rendering at different quality levels based on eye gaze (at a lower computational cost...
Online view sampling for estimating depth from light fields
Kim, C., Subr, K., Mitchell, K., Sorkine-Hornung, A., & Gross, M. (2015)
Online view sampling for estimating depth from light fields. In 2015 IEEE International Conference on Image Processing (ICIP)https://doi.org/10.1109/icip.2015.7350981
Geometric information such as depth obtained from light fields
finds more applications recently. Where and how to sample
images to populate a light field is an important probl...
Real-time variable rigidity texture mapping
Koniaris, C., Mitchell, K., & Cosker, D. (2015)
Real-time variable rigidity texture mapping. In CVMP '15 Proceedings of the 12th European Conference on Visual Media Production. https://doi.org/10.1145/2824840.2824850
Parameterisation of models is typically generated for a single pose, the rest pose. When a model deforms, its parameterisation characteristics change, leading to distortions i...
Carpet unrolling for character control on uneven terrain
Miller, M., Holden, D., Al-Ashqar, R., Dubach, C., Mitchell, K., & Komura, T. (2015)
Carpet unrolling for character control on uneven terrain. In MIG '15 Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Gameshttps://doi.org/10.1145/2822013.2822031
We propose a type of relationship descriptor based on carpet unrolling that computes the joint positions of a character based on the sum of relative vectors originating from a...