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39 results

PoseMMR: A Collaborative Mixed Reality Authoring Tool for Character Animation

Conference Proceeding
Pan, Y., & Mitchell, K. (2020)
PoseMMR: A Collaborative Mixed Reality Authoring Tool for Character Animation. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). , (759-760). https://doi.org/10.1109/vrw50115.2020.00230
Augmented reality devices enable new approaches for character animation, e.g., given that character posing is three dimensional in nature it follows that interfaces with highe...

Group-Based Expert Walkthroughs: How Immersive Technologies Can Facilitate the Collaborative Authoring of Character Animation

Conference Proceeding
Pan, Y., & Mitchell, K. (2020)
Group-Based Expert Walkthroughs: How Immersive Technologies Can Facilitate the Collaborative Authoring of Character Animation. In 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). , ( ‏188-195). https://doi.org/10.1109/vrw50115.2020.00041
Immersive technologies have increasingly attracted the attention of the computer animation community in search of more intuitive and effective alternatives to the current soph...

L3V: A Layered Video Format for 3D Display

Conference Proceeding
Mitchell, K., Sinclair, D., Kosek, M., & Swaford, N. (2014)
L3V: A Layered Video Format for 3D Display
We present a layered video format for 3D interactive display which adapts and exploits well-developed 2D codecs with layer centric packing for real-time user perspective playb...

Poxels: polygonal voxel environment rendering

Conference Proceeding
Miller, M., Cumming, A., Chalmers, K., Kenwright, B., & Mitchell, K. (2013)
Poxels: polygonal voxel environment rendering. In Proceedings of the 20th ACM Symposium on Virtual Reality Software and Technology - VRST '14, 235-236. doi:10.1145/2671015.2671125
We present efficient rendering of opaque, sparse, voxel environments with data amplified in local graphics memory with stream-out from a geomery shader to a cached vertex buff...

Real-Time Multi-View Facial Capture with Synthetic Training

Journal Article
Klaudiny, M., McDonagh, S., Bradley, D., Beeler, T., & Mitchell, K. (2017)
Real-Time Multi-View Facial Capture with Synthetic Training. Computer Graphics Forum, 36(2), 325-336. https://doi.org/10.1111/cgf.13129
We present a real-time multi-view facial capture system facilitated by synthetic training imagery. Our method is able to achieve high-quality markerless facial performance cap...

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...

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...

Guided ecological simulation for artistic editing of plant distributions in natural scenes

Journal Article
Bradbury, G. A., Subr, K., Koniaris, C., Mitchell, K., & Weyrich, T. (2015)
Guided ecological simulation for artistic editing of plant distributions in natural scenes. The Journal of Computer Graphics Techniques, 4(4),
In this paper we present a novel approach to author vegetation cover of large natural scenes. Unlike stochastic scatter-instancing tools for plant placement (such as multi-cla...

Noise Reduction on G-Buffers for Monte Carlo Filtering: Noise Reduction on G-Buffers for Monte Carlo Filtering

Journal Article
Moon, B., Iglesias-Guitian, J. A., McDonagh, S., & Mitchell, K. (2017)
Noise Reduction on G-Buffers for Monte Carlo Filtering: Noise Reduction on G-Buffers for Monte Carlo Filtering. Computer Graphics Forum, 36(8), 600-612. https://doi.org/10.1111/cgf.13155
We propose a novel pre-filtering method that reduces the noise introduced by depth-of-field and motion blur effects in geometric buffers (G-buffers) such as texture, normal an...

Error analysis of estimators that use combinations of stochastic sampling strategies for direct illumination

Journal Article
Subr, K., Nowrouzezahrai, D., Jarosz, W., Kautz, J., & Mitchell, K. (2014)
Error analysis of estimators that use combinations of stochastic sampling strategies for direct illumination. Computer Graphics Forum, 33(4), 93-102. https://doi.org/10.1111/cgf.12416
We present a theoretical analysis of error of combinations of Monte Carlo estimators used in image synthesis. Importance sampling and multiple importance sampling are popular ...