GPU-accelerated depth codec for real-time, high-quality light field reconstruction
Journal Article
Koniaris, B., Kosek, M., Sinclair, D., & Mitchell, K. (2018)
GPU-accelerated depth codec for real-time, high-quality light field reconstruction. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 1(1), 1-15. https://doi.org/10.1145/3203193
Pre-calculated depth information is essential for efficient light field video rendering, due to the prohibitive cost of depth estimation from color when real-time performance ...
Compressed Animated Light Fields with Real-time View-dependent Reconstruction
Journal Article
Koniaris, C., Kosek, M., Sinclair, D., & Mitchell, K. (2019)
Compressed Animated Light Fields with Real-time View-dependent Reconstruction. IEEE Transactions on Visualization and Computer Graphics, 25(4), 1666-1680. https://doi.org/10.1109/tvcg.2018.2818156
We propose an end-to-end solution for presenting movie quality animated graphics to the user while still allowing the sense of presence afforded by free viewpoint head motion....
Empowerment and embodiment for collaborative mixed reality systems: Empowerment and Embodiment
Journal Article
Pan, Y., Sinclair, D., & Mitchell, K. (2018)
Empowerment and embodiment for collaborative mixed reality systems: Empowerment and Embodiment. Computer Animation and Virtual Worlds, 29(3-4), https://doi.org/10.1002/cav.1838
We present several mixed‐reality‐based remote collaboration settings by using consumer head‐mounted displays. We investigated how two people are able to work together in these...
From Faces to Outdoor Light Probes
Journal Article
Calian, D. A., Lalonde, J., Gotardo, P., Simon, T., Matthews, I., & Mitchell, K. (2018)
From Faces to Outdoor Light Probes. Computer Graphics Forum, 37(2), 51-61. doi:10.1111/cgf.13341
Image‐based lighting has allowed the creation of photo‐realistic computer‐generated content. However, it requires the accurate capture of the illumination conditions, a task n...
Deep Precomputed Radiance Transfer for Deformable Objects
Journal Article
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.
With pre...