Lowe-style object instance recognition, using SIFT. The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local features in images
This problem explores the Lowe-style object instance recognition.
Implement the nearest neighbor distance ratio test using the pre-computed SIFT features SIFT_features.mat provided in the supplementary material. The Frame1, Frame2 indicate the 2D position, scales, and the orientation of the descriptors and Descriptor1, Descriptor2 are the correspondin 128-D SIFT features. Display the matches like this:
📦Object-Instance-Recognition
┣ 📂Results
┃ ┣ 📜output.png
┃ ┗ 📜output_2.png
┣ 📜.gitignore
┣ 📜LICENSE
┣ 📜Object_Instance_Recognition.ipynb
┗ 📜README.md