Algorithms
HOTSPOTTER
Hotspotter is a SIFT-based computer vision algorithm. It analyzes the textures in an image to find distinct patterning, or "hot spots", and then compares those against other images in the database. Unlike machine learning-based approaches, HotSpotter can help build new catalogs for new species that need to match individuals but don’t have the training data yet for machine learning-based approaches. Hotspotter can also match new individuals without the need for network retraining. Hotspotter produces a ranked list of potential matches, increasing match scores with increasing similarity. Learn more about Hotspotter.
Hotspotter is a SIFT-based computer vision algorithm. It analyzes the textures in an image to find distinct patterning, or "hot spots", and then compares those against other images in the database. Unlike machine learning-based approaches, HotSpotter can help build new catalogs for new species that need to match individuals but don’t have the training data yet for machine learning-based approaches. Hotspotter can also match new individuals without the need for network retraining. Hotspotter produces a ranked list of potential matches, increasing match scores with increasing similarity. Learn more about Hotspotter.
