Data-driven animation technology (D2AT)

The aim of this full-day workshop in conjunction with SIGGRAPH Asia 2017 is to bring together researchers from diverse backgrounds, such as computer graphics, computer vision, virtual reality, human computer interactions and machine learning, with a common interest in data-driven, realistic animation. Interests in this emerging topic may stem from a variety of sources, e.g. point cloud data collected from laser scanners or RGBD cameras such as KINECT, high resolution geometry reconstructed by Structure from Motion (SfM), motion capture devices including high frame-rate optical trackers and IMUs, GPS data from millions of mobile devices etc. Despite the high dimensionality and the huge volume of the dataset, the boost in machine learning and big data technologies are allowing researchers to extract important features from them for which can be applied for data analysis, synthesis and editing.