Homework - 2
PART A - Linear Dimensionality Reduction: Principal Components
Reconstructed image with m=2 top eigen vectors
Original ImageReconstructed Image
Reconstructed image with m=10 top eigen vectors
Original ImageReconstructed Image
Reconstructed image with m=30 top eigen vectors
Original ImageReconstructed Image
Reconstructed image with m=80 top eigen vectors
Original ImageReconstructed Image
Reconstructed image with m=143 top eigen vectors
Original ImageReconstructed Image
PART B - ISOMAP
Image-25
9 Neighbours of Image - 25
Image - 22 scene00027.jpg
Image - 23 scene00028.jpg
Image - 24 scene00029.jpg
Image - 26 scene00031.jpg
Image - 27 scene00032.jpg
Image - 28 scene00033.jpg
Image - 29 scene00034.jpg
Image - 60 scene00087.jpg
Image - 61 scene00089.jpg
Manifold:
2-D Manifold
2-D Manifold with image numbers
Code
PCA - Resize - Grayscale conversion
ISOMAP
ALL PATH CALCULATOR