Over the last decade, the Visual Media Lab at the University of Surrey's Centre for Vision, Speech and Signal Processing have been researching methods to create interactive virtual characters from markerless multi-camera capture. This site gives an overview of the multiple camera datasets that have been made publically avaliable.
This agreement must be confirmed by a senior representative of your organisation. To access and use this data you agree to the following conditions:
To request access to the CVSSP Dataset Repository, please contact: a.hilton@surrey.ac.uk
Male character in a red and black striped jumper. Data includes calibration, images, silhouettes, stereo geometry and temporally consistent geometry
Collection of dynamic scene datasets captured using static and moving cameras. Data includes calibration and images.
Female character performing game character style moves. Data includes calibration, images, silhouettes, stereo geometry and temporally consistent geometry
Female character in a patterned dress.Data includes calibration, images, silhouettes, stereo geometry and temporally consistent geometry
Female character in a patterned dress.Data includes calibration, images, silhouettes, stereo geometry and temporally consistent geometry
Male character performing break dancing moves. Data includes calibration, images, silhouettes, stereo geometry and temporally consistent geometry
An infantry character dressed in a tunic. Data includes calibration, images, silhouettes, stereo geometry and temporally consistent geometry
A Knight character dressed in chain-mail. Data includes calibration, images, silhouettes, stereo geometry and temporally consistent geometry
The TotalCapture dataset is designed for 3D pose estimation from markerless multi-camera capture, It is the first dataset to have fully synchronised muli-view video, IMU and Vicon labelling for a large number of frames (∼1.9M), for many subjects, activities and viewpoints. For more details check out the webpage