A Realtime Camera Fusion 3D Model with a Novel Feature -Matching and Star Identification-Based Calibration for Tracking Wildfires

Overview

Smoke plumes produced by wildfires pose a major threat to public safety. However, a lack of accurate real- time information on smoke plumes provided by current methods such as satellite imagery leaves communities unable to make informed decisions critical t o ensuring the safety of themselves and their families. Despite the current lack of smoke plume information from satellites, there is an abundance of photography of smoke plumes. In order to utilize this untapped source of information, this project aims to provide an accurate and quick method to locate smoke plumes through smartphone cameras. This paper proposes a method to calibrate a camera using manual and automatic pixel correspondences, an important step for rendering large, homogeneous objects at a distance accurately. After calibration, the proposed method renders a real -time 3D smoke pl ume with planar -to-planar correspondences. This algorithm proves to be significantly faster and more granular than current satellite imagery methods (MODIS and HMS), a significant achievement given the reliance of research methodology and public safety decision- making on previous methods.

Competition history

• JSHS 2024 Category not listed

Resources

• National JSHS abstract book ↗

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