Props Alive: A Framework for Augmented Reality Stop Motion Animation
Casas, L., Kosek, M., & Mitchell, K. (2020)
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)https://doi.org/10.1109/SEARIS41720.2017.9183487
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...
Rapid one-shot acquisition of dynamic VR avatars
Malleson, C., Kosek, M., Klaudiny, M., Huerta, I., Bazin, J., Sorkine-Hornung, A., …Mitchell, K. (2017)
Rapid one-shot acquisition of dynamic VR avatars. In IEEE 2017 Virtual Reality (VR). https://doi.org/10.1109/vr.2017.7892240
We present a system for rapid acquisition of bespoke, animatable, full-body avatars including face texture and shape. A blendshape rig with a skeleton is used as a template fo...
Constructing and Evaluating Visualisation Task Classifications: Process and Considerations
Kerracher, N., & Kennedy, J. (2019)
Constructing and Evaluating Visualisation Task Classifications: Process and Considerations. Computer Graphics Forum, 36(3), 47-59. https://doi.org/10.1111/cgf.13167
Categorising tasks is a common pursuit in the visualisation research community, with a wide variety of taxonomies, typologies, design spaces, and frameworks having been develo...
Visual techniques to support exploratory analysis of temporal graph data.
Kerracher, N., Kennedy, J., Chalmers, K., & Graham, M. (2015)
Visual techniques to support exploratory analysis of temporal graph data. In E. Bertini, J. Kennedy, & E. Puppo (Eds.), Proceedings of the Eurographics Conference on Visualization (EuroVis '15), Short Papers Track, (103-107). https://doi.org/10.2312/eurovisshort.20151133
Recently, much research has focused on developing techniques for the visual representation of temporal graph data. This paper takes a wider look at the visual techniques invol...
Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study
Kerracher, N., Kennedy, J., & Chalmers, K. (2018)
Using a task classification in the visualisation design process for task understanding and abstraction: an empirical study. In J. Johansson, F. Sadlo, & T. Schreck (Eds.), Proceedings of the 2018 Eurographics Conference on Visualization (EuroVis 2018) - Short Papers, (79-83). https://doi.org/10.2312/eurovisshort.20181082
Task classifications are widely purported to be useful in the design process, with various suggestions having been made for their use at the different stages. However, little ...
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...
A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network
Liu, X., Liu, Q., & Sun, M. (2018)
A Dual-spine Approach to Load Error Repair in a HEMS Sensor Network. Computers, Materials & Continua, 57(2), 179-194. https://doi.org/10.32604/cmc.2018.04025+
In a home energy management system (HEMS), appliances are becoming diversified and intelligent, so that certain simple maintenance work can be completed by appliances themselv...
Simulating Dynamic Vehicle Routing Problems with Athos
Hoffman, B., Guckert, M., Chalmers, K., & Urquhart, N. (2019)
Simulating Dynamic Vehicle Routing Problems with Athos. In Proceedings of the 33rd International ECMS Conference on Modelling and Simulation ECMS 2019, (296-302). https://doi.org/10.7148/2019-0296
Complex routing problems, such as vehicle routing problems with additional constraints, are both hard to solve and hard to express in a form that is accessible to the human ex...
Algorithm selection using deep learning without feature extraction
Alissa, M., Sim, K., & Hart, E. (2019)
Algorithm selection using deep learning without feature extraction. In GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. , (198-206). https://doi.org/10.1145/3321707.3321845
We propose a novel technique for algorithm-selection which adopts a deep-learning approach, specifically a Recurrent-Neural Network with Long-Short-Term-Memory (RNN-LSTM). In ...