Advances in Vision-Based Human Body Modeling - 3D Modeling and Animation: Synthesis and Analysis Techniques for the Human Body - page 21

eters, even in unconstrained environments. Moreover, in modeling, dynamics and
kinematics should be thoroughly exploited, while in motion recognition, generic
human actions should be tackled.
In addition to the aforementioned issues, the reduction of the processing time is
still nowadays one of the milestones in human body modeling. It is highly
dependent on two factors: on the one hand, computational complexity and, on the
other hand, current technology. Taking into account the last years' evolution, we
can say that computational complexity will not be significantly reduced during the
years ahead. On the contrary, improvements in the current technology have
become commonplace (e.g., reduction in acquisition and processing times,
increase in the memory size). Therefore, algorithms that nowadays are
computationally prohibitive, are expected to have a good performance with the
next technologies. The latter gives rise to a promising future for HBM applica-
tions and, as an extension, to non-rigid object modeling in general.
The area of human body modeling is growing considerably fast. Therefore, it is
expected that most of the current drawbacks will be solved efficiently through
the next years. According to the current trend, human body modeling will remain
as an application-oriented research field, i.e., the need will dictate the kind of
systems that will be developed. Thus, it will be difficult to see general techniques
that are valid for all of the cases.
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