Deep Precomputed Radiance Transfer for Deformable Objects
Li, Y., Wiedemann, P., & Mitchell, K. (2019)
Deep Precomputed Radiance Transfer for Deformable Objects. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2(1), 1-16. https://doi.org/10.1145/3320284
We propose, DeepPRT, a deep convolutional neural network to compactly encapsulate the radiance transfer of a freely deformable object for rasterization in real-time.
Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses
Casas, L., Fauconneau, M., Kosek, M., Mclister, K., & Mitchell, K. (2019)
Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses. Computers, 8(2), https://doi.org/10.3390/computers8020029
Shadow-retargeting maps depict the appearance of real shadows to virtual shadows given corresponding deformation of scene geometry, such that appearance is seamlessly maintain...
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...
Props Alive: A Framework for Augmented Reality Stop Motion Animation
Casas, L., Kosek, M., & Mitchell, K. (in press)
Props Alive: A Framework for Augmented Reality Stop Motion Animation. In 2017 IEEE 10th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS)
Stop motion animation evolved in the early days of cinema with the aim to create an illusion of movement with static puppets posed manually each frame. Current stop motion mov...
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...