COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Rainbow Graphics Seminars > Perceptual metrics for Level of Detail (LOD) human representations
Perceptual metrics for Level of Detail (LOD) human representationsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Lorisa Dubuc. Real-time crowd systems are increasing in popularity and importance. With this comes the need for effective low Level of Detail (LOD) human model representations. Currently, the two most commonly used representations for large scale crowds are image based representations and low level geometric meshes. In this talk, I will discuss the work carried out in the Interaction, Simulation and Graphics group in Dublin into a hybrid system for real-time crowd rendering, which is driven by the results of psychophysical investigations into the effectiveness of various human model representations in terms of their appearance and how accurately they convey motion. This work has been carried out in collaboration with Rachel McDonnell and Simon Dobbyn. This talk is part of the Rainbow Graphics Seminars series. This talk is included in these lists:Note that ex-directory lists are not shown. |
Other listsHistory of Medicine Seminars Cambridge University Commonwealth Society mas270Other talksCoatable photovoltaics (Title t o be confirmed) Improving on Nature: Biotechnology and the Ethics of Animal Enhancement Dame Ottoline Leyser: Plant Development MRI in large animals: a new imaging model Embedding Musical Codes into an Interactive Piano Composition Retinal mechanisms of non-image-forming vision The role of the oculomotor system in visual attention and visual short-term memory Cambridge - Corporate Finance Theory Symposium September 2017 - Day 2 BP KEYNOTE LECTURE: Importance of C-O Bond Activation for CO2/COUtilization - An Approach to Energy Conversion and Storage The Anne McLaren Lecture: CRISPR-Cas Gene Editing: Biology, Technology and Ethics |