Okan Arikan, David A. Forsyth
There are many applications that demand large quantities of natural looking motion. It is difficult to synthesize motion that looks natural, particularly when it is people who must move. In this paper, we present a framework that generates human motions by cutting and pasting motion capture data. Selecting a collection of clips that yields an acceptable motion is a combinatorial problem that we manage as a randomized search of a hierarchy of graphs. This approach can generate motion sequences that satisfy a variety of constraints automatically. The motions are smooth and human-looking. They are generated in real time so that we can author complex motions interactively. The algorithm generates multiple motions that satisfy a given set of constraints, allowing a variety of choices for the animator. It can easily synthesize multiple motions that interact with each other using constraints. This framework allows the extensive re-use of motion capture data for new purposes.
This will be so great once this is implemented in a computer game.
sleepingeye 2 years ago
That woudl be nice... you are running off the cop, then he jump and try to catch your legs, every time you turn he try to jump to your legs, and it dont look same every time!
arczix999 2 years ago
THAT LOOKS AWSOME where can u get it??
joman66 3 years ago