Outputs (492)

Latency aware foveated rendering in unreal engine 4 (2015)
Presentation / Conference Contribution
Swafford, N. T., Cosker, D., & Mitchell, K. (2015). Latency aware foveated rendering in unreal engine 4. In CVMP '15 Proceedings of the 12th European Conference on Visual Media Production. https://doi.org/10.1145/2824840.2824863

We contribute a foveated rendering implementation in Unreal Engine 4 (UE4) and a straight-forward metric to allow calculation of rendered foveal region sizes to compensate for overall system latency and maintain perceptual losslessness. Our system de... Read More about Latency aware foveated rendering in unreal engine 4.

Augmented creativity: bridging the real and virtual worlds to enhance creative play (2015)
Presentation / Conference Contribution
Zünd, F., Ryffel, M., Magnenat, S., Marra, A., Nitti, M., Kapadia, M., Noris, G., Mitchell, K., Gross, M., & Sumner, R. W. (2015, November). Augmented creativity: bridging the real and virtual worlds to enhance creative play. Presented at SIGGRAPH ASIA 2015 Mobile Graphics and Interactive Applications on - SA '15

Augmented Reality (AR) holds unique and promising potential to bridge between real-world activities and digital experiences, allowing users to engage their imagination and boost their creativity. We propose the concept of Augmented Creativity as empl... Read More about Augmented creativity: bridging the real and virtual worlds to enhance creative play.

Online view sampling for estimating depth from light fields (2015)
Presentation / Conference Contribution
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 problem to maximize the usability of information gathered for depth reconstru... Read More about Online view sampling for estimating depth from light fields.

Adaptive rendering with linear predictions (2015)
Journal Article
Moon, B., Iglesias-Guitian, J. A., Yoon, S., & Mitchell, K. (2015). Adaptive rendering with linear predictions. ACM transactions on graphics, 34(4), 121:1-121:11. https://doi.org/10.1145/2766992

We propose a new adaptive rendering algorithm that enhances the performance of Monte Carlo ray tracing by reducing the noise, i.e., variance, while preserving a variety of high-frequency edges in rendered images through a novel prediction based re... Read More about Adaptive rendering with linear predictions.

Guided ecological simulation for artistic editing of plant distributions in natural scenes (2015)
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), 28-53

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-class blue noise generators), we use a simulation based on ecological processe... Read More about Guided ecological simulation for artistic editing of plant distributions in natural scenes.

Error analysis of estimators that use combinations of stochastic sampling strategies for direct illumination (2014)
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 variance-reduction strategies. Unfortunately, neither strategy improves the... Read More about Error analysis of estimators that use combinations of stochastic sampling strategies for direct illumination.

Noise Reduction on G-Buffers for Monte Carlo Filtering: Noise Reduction on G-Buffers for Monte Carlo Filtering (2017)
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 and depth images. Our pre-filtering uses world positions and their variances... Read More about Noise Reduction on G-Buffers for Monte Carlo Filtering: Noise Reduction on G-Buffers for Monte Carlo Filtering.

L3V: A Layered Video Format for 3D Display (2014)
Presentation / Conference Contribution
Mitchell, K., Sinclair, D., Kosek, M., & Swaford, N. (2014, November). L3V: A Layered Video Format for 3D Display. Presented at Conference on Visual Media Production, London

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 playback. We demonstrate our 3D video format for both handheld 3D on mobile devi... Read More about L3V: A Layered Video Format for 3D Display.

For Flux Sake: The Confluence of Socially- and Biologically-Inspired Computing for Engineering Change in Open Systems (2017)
Presentation / Conference Contribution
Pitt, J., & Hart, E. (2017, September). For Flux Sake: The Confluence of Socially- and Biologically-Inspired Computing for Engineering Change in Open Systems. Presented at 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W)

This position paper is concerned with the challenge of engineering multi-scale and long-lasting systems, whose operation is regulated by sets of mutually-agreed, conventional rules. The core of the problem is that there are multiple, inter-dependent... Read More about For Flux Sake: The Confluence of Socially- and Biologically-Inspired Computing for Engineering Change in Open Systems.

Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space (2017)
Presentation / Conference Contribution
Singh Jamnal, G., Liu, X., & Fan, L. (2017). Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space. In Proceedings of The 29th International Conference on Software Engineering and Knowledge Engineering

In this paper, we proposed a new type of decision making system to achieve the intelligent goal for automated smart environments. The artificial intelligence techniques, used as building blocks to understand inhabitant activity patterns. The collecte... Read More about Home automation: HMM based fuzzy rule engine for Ambient intelligent smart space.

Security, privacy and safety evaluation of dynamic and static fleets of drones (2017)
Presentation / Conference Contribution
Akram, R. N., Markantonakis, K., Mayes, K., Habachi, O., Sauveron, D., Steyven, A., & Chaumette, S. (2017, September). Security, privacy and safety evaluation of dynamic and static fleets of drones. Presented at 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC)

Interconnected everyday objects, either via public or private networks, are gradually becoming reality in modern life -- often referred to as the Internet of Things (IoT) or Cyber-Physical Systems (CPS). One stand-out example are those systems based... Read More about Security, privacy and safety evaluation of dynamic and static fleets of drones.

Props Alive: A Framework for Augmented Reality Stop Motion Animation (2020)
Presentation / Conference Contribution
Casas, L., Kosek, M., & Mitchell, K. (2017, March). Props Alive: A Framework for Augmented Reality Stop Motion Animation. Presented at 2017 IEEE 10th Workshop on Software Engineering and Architectures for Realtime Interactive Systems (SEARIS), Los Angeles, CA, USA

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 movies introduced 3D printing processes in order to acquire animations more ac... Read More about Props Alive: A Framework for Augmented Reality Stop Motion Animation.

Emergence of hierarchy from the evolution of individual influence in an agent-based model (2017)
Presentation / Conference Contribution
Perret, C., Powers, S. T., & Hart, E. (2017). Emergence of hierarchy from the evolution of individual influence in an agent-based model. In Proceedings of the 14th European Conference on Artificial Life 2017 (348-355)

The sudden transition from egalitarian groups to hierarchical societies that occurred with the origin of agriculture is one of the most striking features of the evolution of human societies. Hierarchy is reflected by the evolution of an asymmetrical... Read More about Emergence of hierarchy from the evolution of individual influence in an agent-based model.

The institutional approach for modeling the evolution of human societies (2018)
Journal Article
Powers, S. T. (2018). The institutional approach for modeling the evolution of human societies. Artificial Life, 24(1), 10-28. https://doi.org/10.1162/ARTL_a_00251

Artificial Life is concerned with understanding the dynamics of human societies. A defining feature of any society is its institutions. However, defining exactly what an institution is has proven difficult, with authors often talking past each other.... Read More about The institutional approach for modeling the evolution of human societies.

ESBSC: Energy-Aware Service Brokering Strategy in Clouds (2017)
Presentation / Conference Contribution
Ma, F., Liu, X., Yang, Y., Yao, W., Cai, J., & Wang, F. (2017, July). ESBSC: Energy-Aware Service Brokering Strategy in Clouds. Presented at 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC)

One of the key features of cloud computing is on demand resource provision. Unfortunately, different cloud service providers often have different standards, which makes the job of choosing the suitable resource to be a very difficult one for the comm... Read More about ESBSC: Energy-Aware Service Brokering Strategy in Clouds.

A Cognitive-IoE Approach to Ambient-intelligent Smart Home (2017)
Presentation / Conference Contribution
Jamnal, G., & Liu, X. (2017). A Cognitive-IoE Approach to Ambient-intelligent Smart Home. In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security (302-308). https://doi.org/10.5220/0006304103020308

In today’s world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not re... Read More about A Cognitive-IoE Approach to Ambient-intelligent Smart Home.

Power Consuming Activity Recognition in Home Environment (2017)
Presentation / Conference Contribution
Liu, X., & Liu, Q. (2017). Power Consuming Activity Recognition in Home Environment. In X. Sun, H. Chao, X. You, & E. Bertino (Eds.), Cloud Computing and Security. ICCCS 2017 (361-372). https://doi.org/10.1007/978-3-319-68505-2_31

This work proposed an activity recognition model which focus on the power con-suming activity in home environment, to help residents modify their behavior. We set the IoT system with lower number of sensors. The key data for identifying activity come... Read More about Power Consuming Activity Recognition in Home Environment.

What can we learn from simulating commuters? (2017)
Presentation / Conference Contribution
Urquhart, N. (2017, November). What can we learn from simulating commuters?. Presented at U!REKA

Commuting affects just about every member of the workforce in the UK, those who do not commute are affected by the congestion and pollution generated by such activities. There is increasing pressure on organisations to adopt practices and measures th... Read More about What can we learn from simulating commuters?.

An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules (2018)
Journal Article
Habibullah, S., Liu, X., & Tan, Z. (2018). An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules. International Journal of Computer Theory and Engineering, 10(5), 164-169. https://doi.org/10.7763/ijcte.2018.v10.1219

Evolving legacy enterprise systems into a lean system architecture has been on the agendas of many enterprises. Recent advance in legacy system evaluation is in favour of microservice technologies, which not only significantly reduce the complexity i... Read More about An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules.

IRIDiuM+: deep media storytelling with non-linear light field video (2017)
Presentation / Conference Contribution
Kosek, M., Koniaris, B., Sinclair, D., Markova, D., Rothnie, F., Smoot, L., & Mitchell, K. (2017, July). IRIDiuM+: deep media storytelling with non-linear light field video. Presented at ACM SIGGRAPH 2017 VR Village on - SIGGRAPH '17, Los Angeles, California

We present immersive storytelling in VR enhanced with non-linear sequenced sound, touch and light. Our Deep Media (Rose 2012) aim is to allow for guests to physically enter rendered movies with novel non-linear storytelling capability. With the ab... Read More about IRIDiuM+: deep media storytelling with non-linear light field video.