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Animating Animal Motion From Still

Animating Animal Motion From Still. [1]. Presenting:. Shahar Ben Ezra Saar Nakibli. Supervisor:. Hayley Binia Wolman. Computer Graphics Lab Electrical Engineering, Technion , Israel June 2009. [1] Xuemiao Xu , Animating Animal Motion From Still, Siggraph 2008. Project Goal.

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Animating Animal Motion From Still

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  1. Animating Animal Motion From Still [1] Presenting: Shahar Ben Ezra Saar Nakibli Supervisor: Hayley Binia Wolman Computer Graphics Lab Electrical Engineering, Technion, Israel June 2009 [1] XuemiaoXu , Animating Animal Motion From Still, Siggraph 2008

  2. Project Goal • Create an animation movie by reconstructing the animal motion from a still picture Still Image Animation Movie Algorithm

  3. Overview Distances matrix Snapshot Extraction Shape Context Descriptor Find distances Source Image snapshots Shape context descriptors 6,3,4,1,2,5 TPS Morphing Consistency Refinement Creating Animation Path Finding Animation between two snapshots Consistent snapshots Motion Path Final Movie

  4. Shape Context • Find the contour of the snapshot • For every point on the contour draw the circles and bins as shown • Create the “matrix descriptor “ • Invariant to translation, rotation and scale.

  5. Distance Matrix Distance between Snapshot-K and Snapshot-L: Point on snapshot K Closest point on snapshot L How do we find ? Distance between two matrix descriptors

  6. Path Finding • Find the optimal path between the snapshots using the distances matrix • Energy function of path: • Avoid “getting stuck” on a local minimum by using Simulated Annealing Optimization Algorithm, which allows us to “exit” a local minimum.

  7. Motion Cycle Full Cycle: Half Cycle:

  8. Pose Consistency • In order to create smooth and realistic animation, all the animals have to be in the same pose relative to the camera. • Affine transformation includes: • Translation • scale • rotation • All snapshots are translated relative to a pivot snapshot. Pivot

  9. Appearance Consistency • Every snapshot has its own color and texture that can vary from one snapshot to another. • Histograms standardization of all snapshots will make the final animation look smoother. Pivot histogram:

  10. TPS Morphing • Finding animation points: • Points which are not static • during the animal motion • Morph between the source points and target points • Source Image is registered to the green points • Destination Image is registered to the red points.

  11. Creating Animation Morph three frames between two snapshots Destination 0.5 Source 0.75 0.25 0.25 0.5 0.75

  12. Results Turtles: Ready? Go! Tadpoles:

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