Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
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3D reconstruction of a moving object is notable technique in fields such as digital archives or entertainments. [de Aguiar et al. 2008] is able to reconstruct motion and spatio-temporally coherent time-varying geometry using by eight multi-view video and a range scanner. However, they couldn't capture the numerous high-frequency folds of garments, it make the realism of the re-constructed dynamic models reduce. On the other hand, [Hernández et al. 2007] proposed the technique to reconstruct detailed 3D shape of moving cloth including high frequency folds by using one camera. They also use three primary colored lights to acquire the shading information independently at the same time. This property made it possible to estimate surface normals on the object from the video sequence by using photometric stereo. However, there is a defect that the area which can be reconstructed is only limited to frontal surface.