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A framework for image-based asset generation and animation

: Furch, J.; Hilsmann, A.; Eisert, P.


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
ICIP 2015, IEEE International Conference on Image Processing. Proceedings : 27-30 September 2015, Quebec City, Canada
Piscataway, NJ: IEEE, 2015
ISBN: 978-1-4799-8339-1
International Conference on Image Processing (ICIP) <22, 2015, Québec>
Fraunhofer HHI ()

Creating digital animatable models of real-world objects and characters is important for many applications, ranging from highly expensive movie productions to low-cost real-time applications like computer games and augmented reality. However, achieving real photorealism with convincing appearance and deformation behavior requires sophisticated capturing, elaborate manual modeling and time-consuming simulation. This can only be achieved in well funded film productions, while in low-cost applications, animated objects usually lack visual quality. In this paper, we present a new framework for image-based animatable asset generation which avoids these time-consuming processes both in the modeling and the simulation stage. Real-time photo-realistic animation is enabled by the use of captured images and shifting computational complexity to an a-priori training phase. Our paper covers the complete pipeline of content creation, asset generation and representation, and a real-time animation and rendering implementation.