What are the main challenges in real-time feature detection?

What are the main challenges in real-time feature detection?

Some key challenges include processing speed, accuracy, and handling varying lighting conditions.

How does lighting affect feature detection?

Lighting can create shadows or highlights that obscure features, making detection less reliable.

What techniques can improve feature detection in real-time?

Techniques like adaptive thresholding, machine learning models, and multi-scale processing can help.

Are there specific applications where real-time feature detection is critical?

Yes, applications in autonomous driving, augmented reality, and surveillance rely heavily on real-time feature detection.