![](bg6.png)
(a) Fashion2: Raw sequence frames 292-299
(b) Fashion2: Blended sequence frames 292-299
Figure 6: Smoothness error distribution on the surface between frames.
6 CONCLUSIONS
In conlusion, the process that have been presented
provides a smooth motion path for concatenation of
human motion synthesis from 3D video sequences.
In contrast to using depth cameras (Microsoft Kinect)
and annotated markers (Flagg et al., 2009), we have
shown that in the absence of skeletal information, us-
ing automatically detected surface correspondences
from SIFT and MeshHOG, an intermediate surface
motion can be reconstructed to create a seamless mo-
tion transfer between sequences. The process in-
cludes using Laplacian mesh deformation and linear
blending methods to preserve the non-rigid dynam-
ics of the surface. Work is in progress to include ad-
ditional coarse correspondences for filling in regions
without any features to facilitate greater flexibility in
the re-use of motion sequences. Further emphasis
is being placed on making surface feature matching
temporally consistent, similar to that of (Budd et al.,
2013) which uses patch mesh, to allow reliable esti-
mation of a consistent structure.
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