This was a question asked to me by Kalra
- Scale Invariant Feature Transform (SIFT)
For extracting key points and descriptors:
- “Principal Component Analysis” based “Scale Invariant Feature Transform” (PCA-SIFT)
- Speeded Up Robust Features (SURF)
For Indexing and matching:
- Locally-Sensitive Hashing (LSH)
Notes on the topic
In Computer Vision, SIFT is a feature descriptor.
Other feature descriptors:
- Group Invariant Feature Transform (GIFT)
- Histogram of Oriented Gradients (HOG)
- Speeded Up Robust Features (SURF)
- Gradient Location and Orientation Histogram (GLOH)
- Local Binary Pattern (LBP)
- Vector of Locally Aggregated Descriptors (VLAD)