4D multi-view reconstruction of moving actors has many applications in the entertainment industry and although studios providing such services become more accessible, efforts have to be done in order to improve the underlying technology and to produce high-quality 3D contents. The RECOVER3D project aim is to elaborate an integrated virtual video system for the broadcast and motion pictures markets. In particular, we present a hybrid acquisition system coupling mono and multiscopic video cameras where actor’s performance is captured as 4D data set: a sequence of 3D volumes over time. The visual improvement of the software solutions being implemented relies on “silhouette-based” techniques and (multi-)stereovision, following several hybridization scenarios integrating GPU-based processing. Afterwards, we transform this sequence of independent 3D volumes in a unique dynamic mesh. Our approach is based on a motion estimation procedure. An adaptive signed volume distance function is used as the principal shape descriptor and an optical flow algorithm is adapted to the surface setting with a modification that minimizes the interference between unrelated surface regions.