vault backup: 2023-04-20 10:00:35

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Jet Hughes 2023-04-20 10:00:36 +12:00
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---
title: "14-computer-vision-for-p&u-computing"
tags:
- info305
- lecture
---
Model-based Tracking
- Requires CAD/3D model of the scene
- Uses a prior estimate of camera position
- 3D model is projected into the cameras view for every frame, computing the visible parts of edges
- Searches in the direction of the edge normal for the nearest edge in the video image
- Hybrid tracking combining inertial sensor with model-based tracking
- Uses a textured 3D model of an urban environment
- Instead of only using edges, includes appearance of edges
- Method:
- View rendered from previous pose
- Edges are extracted from this rendered view
- Search window slides along edge normal in camera image to search for corresponding edge
- Information is then used to update camera pose

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- [x] [[10-orientation-sensors]] - [x] [[10-orientation-sensors]]
- [x] [[11-orientation sensors-2]] - [x] [[11-orientation sensors-2]]
- [x] [[12-advanced-sensing-and-vision-sensors]] - [x] [[12-advanced-sensing-and-vision-sensors]]
- [ ] [[13-computer-vision]]
- [ ] [[14-computer-vision-for-p&u-computing]]
# Info # Info