Tangkuampien et al., 2006 - Google Patents
Real-Time Human Pose Inference using Kernel Principal Component Pre-image Approximations.Tangkuampien et al., 2006
View PDF- Document ID
- 188229282114375128
- Author
- Tangkuampien T
- Suter D
- Publication year
- Publication venue
- BMVC
External Links
Snippet
We present a real-time markerless human motion capture technique based on un-calibrated synchronized cameras. Training sets of real motions captured from marker based systems are used to learn an optimal pose manifold of human motion via Kernel Principal …
- 238000000034 method 0 abstract description 32
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- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
- G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
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