The ability to monitor the clouds layer that covers the Earth has a critical effect on weather forecasting.
Abstract
The ability to monitor the clouds layer that covers the Earth has a critical effect on weather forecasting.
Today, huge resources are needed in order to produce an accurate weather forecast. Various systems are used for this purpose e.g. satellites, radars systems, weather balloons etc.
Together with the advantages of these systems, they also have disadvantages such as, high price, inability to see the clouds shape from Earth.
Project Goals
- developing and implementing algorithm
- reconstructs 3-D shape of clouds from multiple images.
- using regular cameras, cameras of smart phones…
Motivation
- Available & inexpensive
Flowchart
Final situation
- Looking to target point
- Same view , different angles
- Accurate reconstruction depends on number of the cameras
Synthesized Images
- Fisheye to synthesize
- Specific view
- Matching pixels
- Transformation
Synthesized vs. Silhouette image
- Binary image
- The white color is the needed part
Final Result
Conclusion
A new approach of 3-D reconstruction clouds layer from multiple images was presented.
Positives:
- inexpensive
- available
- simple
- easily use
Negatives:
- Troubles at extreme weather conditions
- Difficult setup