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content/notes/14-computer-vision-for-p&u-computing.md
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content/notes/14-computer-vision-for-p&u-computing.md
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---
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title: "14-computer-vision-for-p&u-computing"
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tags:
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- info305
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- lecture
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---
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Model-based Tracking
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- Requires CAD/3D model of the scene
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- Uses a prior estimate of camera position
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- 3D model is projected into the camera’s view for every frame, computing the visible parts of edges
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- Searches in the direction of the edge normal for the nearest edge in the video image
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- Hybrid tracking combining inertial sensor with model-based tracking
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- Uses a textured 3D model of an urban environment
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- Instead of only using edges, includes appearance of edges
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- Method:
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- View rendered from previous pose
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- Edges are extracted from this rendered view
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- Search window slides along edge normal in camera image to search for corresponding edge
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- Information is then used to update camera pose
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@ -27,4 +27,6 @@ tags:
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- [x] [[10-orientation-sensors]]
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- [x] [[10-orientation-sensors]]
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- [x] [[11-orientation sensors-2]]
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- [x] [[11-orientation sensors-2]]
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- [x] [[12-advanced-sensing-and-vision-sensors]]
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- [x] [[12-advanced-sensing-and-vision-sensors]]
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- [ ] [[13-computer-vision]]
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- [ ] [[14-computer-vision-for-p&u-computing]]
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# Info
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# Info
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