Interactive Ray-Traced Area Lighting with Adaptive Polynomial Filtering
Conference Proceeding
Iglesias-Guitian, J. A., Moon, B., & Mitchell, K. (2016)
Interactive Ray-Traced Area Lighting with Adaptive Polynomial Filtering. In Proceedings of the 13th European Conference on Visual Media Production (CVMP 2016)
Area lighting computation is a key component for synthesizing photo-realistic rendered images, and it simulates plausible soft shadows by considering geometric relationships b...
Synthetic Prior Design for Real-Time Face Tracking
Conference Proceeding
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
Conference Proceeding
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...
Pixel history linear models for real-time temporal filtering.
Journal Article
Iglesias-Guitian, J. A., Moon, B., Koniaris, C., Smolikowski, E., & Mitchell, K. (2016)
Pixel history linear models for real-time temporal filtering. Computer Graphics Forum, 35(7), 363-372. https://doi.org/10.1111/cgf.13033
We propose a new real-time temporal filtering and antialiasing (AA) method for rasterization graphics pipelines. Our method is based on Pixel History Linear Models (PHLM), a n...
Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings
Journal Article
Bitterli, B., Rousselle, F., Moon, B., Iglesias-Guitián, J. A., Adler, D., Mitchell, K., …Novák, J. (2016)
Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings. Computer Graphics Forum, 35(4), 107-117. https://doi.org/10.1111/cgf.12954
We address the problem of denoising Monte Carlo renderings by studying existing approaches and proposing a new algorithm that yields state-of-the-art performance on a wide ran...
Stereohaptics: a haptic interaction toolkit for tangible virtual experiences
Conference Proceeding
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...
IRIDiuM: immersive rendered interactive deep media
Conference Proceeding
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...
User, metric, and computational evaluation of foveated rendering methods
Conference Proceeding
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...
Adaptive polynomial rendering
Journal Article
Moon, B., McDonagh, S., Mitchell, K., & Gross, M. (2016)
Adaptive polynomial rendering. ACM transactions on graphics, 35(4), 1-10. https://doi.org/10.1145/2897824.2925936
In this paper, we propose a new adaptive rendering method to improve the performance of Monte Carlo ray tracing, by reducing noise contained in rendered images while preservin...
Online view sampling for estimating depth from light fields
Conference Proceeding
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...