Inspired by kernel methods that have been used extensively in achieving efficient facial animation retargeting, this paper presents a solution to retargeting facial animation in virtual character’s face model based on the kernel projection of latent structure (KPLS) regression between semantically similar facial expressions. Specifically, a given number of corresponding semantically similar fac...

In this paper, we present an architecture following a novel animation authoring pipeline seamlessly supporting performance capture and manual editing of key-frames animation. This pipeline allows novice users to record and author sophisticated facial animations in a fraction of the time that would be required using traditional animation tools. This approach paves the way towards novel animation...

We present a novel framework for content-aware and art-directable video retargeting. A simple and interactive workflow combines key frame based constraint editing with numerous automatic algorithms for video analysis. This combination gives content producers high level control of the retargeting process. The central component of our framework is a non-uniform, pixelaccurate warp to the target r...

In this paper, we pose a motion cloning problem of retargeting the motion of a source character to a target character with a different structure. Based on scattered data interpolation, an example-based approach to motion cloning is proposed. Provided with a set of example motions, our method automatically extracts a small number of representative postures called source key-postures. The animato...