A Physically-Based Motion Retargeting Filter SEYOON TAK HYEONG-SEOK KO ACM TOG (January 2005)...
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Transcript of A Physically-Based Motion Retargeting Filter SEYOON TAK HYEONG-SEOK KO ACM TOG (January 2005)...
A Physically-Based Motion Retargeting Filter
SEYOON TAKHYEONG-SEOK KO
ACM TOG (January 2005) 9557526 方奎力
Introduction
Constraints-based motion edit
Kinematically constrains Dynamic constrains
Segment weights 、 joint strengths…
Introduction
Novel constraints-based motion edit
Per-frame algo. -> Kalman filter May velocity relationship between
constrains -> least-squares filter
Approach II. (Kalman filter) Unscented Kalman filter (UKF)
Process model
Measurement
Measurement model
Approach II. (Kalman filter) Unscented Kalman filter (UKF)
3. Transform sample point through measurement model
Approach II. (Kalman filter) Unscented Kalman filter (UKF)
4. Predicted measurement innovation covariance
cross-covariance
measurement noise covariance
Conclusion Disadv.
Noise covariance Cost of least square filter Balance constrains -> You can’t fall