Authentic voices. Remarkable stories. AOL On Originals showcase the passions that make the world a more interesting place.
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A 12 episode documentary series following 5 startup companies competing in the 2013 San Francisco TechCrunch Disrupt Startup Battlefield as they fine tune their products and eventually present in front of a panel of judges in hopes of winning $50,000 in funding.
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Hank Azaria’s touching, humorous, and often enlightening journey from a man who is not even sure he wants to have kids, to a father going through the joys, trials and tribulations of being a dad.
The goal of this project is to develop amended for creating computer animations that combines the control of using key frames with the rich detail that can be achieved using motion capture data.
Our technique allows an animator to sketch an animation with the small number of key frames for a few degrees of freedom and then enhance the resulting animation with motion-captured data. For the degrees of freedom that have been key framed, the resulting smooth curves are textured based on information in the motion-captured data. Degrees of freedom that have not been key framed are synthesized. We divide our process into several steps, the frequency analysis, matching, path finding and joining.
First, the animator chooses the degrees of freedom that will drive the rest of the animation. Often joint angels near the route such as the hip and knee angels. We will refer to these degrees of freedom as the matching angles. Usually, more than one degree of freedom is chosen but in the following presentation, we will illustrate the process for just one.
The matching angels for both the key frame data and the motion capture data are decomposed into frequency bands and one of the lower frequency bands is used for the matching step. This band is broken into fragments. We stepped through each of the fragments of key frame data one by one. Each is compared to all of the fragments of motion-captured data and several of the closes matches are found. A degree of freedom is synthesized by choosing fragments of data from the same location and time where the fragments of low frequency data found in the matching step came from.
The best pass are found through the fragments and the ends are joined smoothly in the final step. A degree of freedom is textures by exactly the same method but only the higher frequency bands are created, replacing the higher frequency bands that were already there in the key frame data. Here, we show a sketched out of animation of two characters.
We enhance the motion of each character with motion-captured data of a different walk style. The final animation not only is more detailed and life like but clearly captures the different motion styles found in the two data sets. The motion and the enhanced animation looks correct. Even though the key framed animation contained other motions such as steps that gets smaller and smaller and they stamp.
Our method can also be used to alter the style of an existing animation that may already have a large amount of detail in it. Here, we show a key frame animation that has been created by professional animators. Using motion capture data of one of the two walk style shown earlier, we can change the style of the character’s motions by texturing the upper body degrees of freedom. The technique can be used to synthesize missing degrees of freedom even for complicated full body motions. Here, we show a key frame sketch of a character doing some modern dance.
Given some motion capture data of dancing, an example which is shown here, we can enhance the key framed animation. Here, the upper body motion of the purple character was synthesized based on the key framed lower body motions. The motion of each leg was textured when it was not in contact with the floor.
Here, we’re showing animation created by the same method but in which we kept two different paths through the possible matches for each fragment. We see that the resulting motions are different but both are valid. Another way to create different animations by this method is to use different degrees of freedom in the matching step. For example, in this animation, the upper body motion of the blue character was synthesized using the only the left hip and left knee X angles as the matching angles. Well, that of the purple character was synthesized based on all of the angles of the left and right hips and knees. Notice that the resulting animations are quite different but in both cases, the upper body is coordinated with the lower. Ultimately, the matching angles and paths are parameters that the animator can manipulate to achieve the final animation.