Difference: MocapEditing (8 vs. 9)

Revision 92006-03-06 - zephyr

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META TOPICPARENT	name="CPSC526ComputerAnimation"

-- MichielVanDePanne - 27 Feb 2006

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(Motion signal processing) I usually find it quite interesting to see techniques discovered and developed in one field applied in another, but in this case, I found the results less than satisfying. Watching these animations in action may have been more convincing, but the descriptions and figures did not seem like very impressive results, and on top of this, their methods introduce constraint violations which almost seem to outweigh the benefits. What they believe "to be the most useful" of their techniques, motion displacement mapping, looks like an awkward and unintuitive method way of modifying a motion. I would think that directly modifying a pose of the character, and seeing where that new pose lies on several motion signals may make this method more approachable. -- H. David Young

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-An economical way to use motion capture data. However, the main purpose of motion capture is to totally track human motions so that we can have a sense of realism. If we use signal processing on the motion capture data, then compared with the real motion caputre data to the same model, which is better? -The multitarget interpolation is especially interesting. I think they can be combined with the character personality topic we discussed last week to generate some impressing results. -The authors provided examples for the implementation of filtering algorithm, but they didn't explain why this result comes.--Zhangbo Liu

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(Motion Signal Processing)An economical way to use motion capture data. However, the main purpose of motion capture is to totally track human motions so that we can have a sense of realism. If we use signal processing on the motion capture data, then compared with the real motion caputre data to the same model, which is better? The multitarget interpolation is especially interesting. I think they can be combined with the character personality topic we discussed last week to generate some impressing results. The authors provided examples for the implementation of filtering algorithm, but they didn't explain why this result comes.--Zhangbo Liu

The idea is cool, and the results the author presented are also impressive. But it looks how to capture the motion from a 2D cartoon is time consumed and is hard to be handled by an animator without much CG knowledge. The autho made lots of assumations and applied their algorithm only on some simple short motions, such as the motion of the character is one-way, from left to right and so on. If the motion is complex, it is very difficult or impossible to capture the motion from a cartoon. Applying the captured data to the new model is also based on some assumptions and limited. In Figure 10 in the paper, if we want to use a new hat to replace the old one, it leads to a masking problem. In some colorful scene, it is not easy to handle. --Bo

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Motion signal processing paper : An interesting idea of using signal processing to modify animations. The idea, though, seems very non-intuitive and it probably takes a lot of trial and error and tweaking to see results from it. The parameter to band mapping seemed too simple, it wasn't local enough. -- Roey Flor

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(Motion Capturing Cartoons)The biggest constraint of this approach might be that the target and the source object must be versy similar--I'm curious what if they try to retarget the key-shapes of the frog on a little boy:P The approach wants to make generating (or coloning) animation easier, but actually it still needs much work. In addition, it may have difficulty to be extended to 3D cases. Anyhow, I like this paper:) -- Zhangbo Liu

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