Week 2 Deep Learning Flashcards
What is feature detection in computer vision?
Feature detection identifies key points or structures in an image.
What are common features in feature detection?
Common features include edges, corners, and blobs.
Why is feature detection important in vision tasks?
Feature detection is the first step in many vision tasks like object recognition and matching.
What is edge detection used for?
Edge detection finds boundaries between regions with significant intensity changes.
What does corner detection do?
Corner detection identifies points where edges meet or intersect.
How is blob detection applied in vision?
Blob detection detects regions with similar properties, often used in segmentation.
What is the Harris corner detector?
The Harris corner detector is a widely used corner detection algorithm.
What is SIFT in computer vision?
SIFT (Scale-Invariant Feature Transform) is effective for detecting and matching features across images.
How does SURF compare to SIFT?
SURF (Speeded-Up Robust Features) is a faster alternative to SIFT.
What has deep learning revolutionised in feature extraction?
Deep learning has revolutionised feature extraction with convolutional neural networks (CNNs).
