CS 194-26 Project 6
Project Spec: https://inst.eecs.berkeley.edu/~cs194-26/fa18/hw/proj6/
Project 6a (AKA tour of apartment)
Image Rectification
Vent
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Output
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The Flagellation
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Output
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Mosaic
Closet
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Output: Left is naive overlaying, right is laplacian blending. Unfortunate artifacts due to mask :(
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Bathroom
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Output
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Alleyway
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Output
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Project 6b (AKA home for Thanksgiving)
I started with two pictures of my fireplace:
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Harris Corners
Default arris corners
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Adaptive Non-Maximal Suppression
Harris corners after applying ANMS:
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Feature Matching
Feature matching using Lowe's technique:
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Special thanks to Ajay Ramesh for code to visualize the feature pairs.
Results
Original:
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Stitched:
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Original:
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Stitched:
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Original:
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Stitched:
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What I learned
Some takeaways:
Original image quality is very important. I originally didn't pay much attention to exposure/shutter speed settings, so the images had different lighting. Not much post-processing can do to fix this.
Automatic feature matching is much cooler after laborious manual selection
I was very impressed at how well the feature descriptors and lowe reranking worked. I was particularly impressed at these feature correspondences:
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