Transformation Invariant Reverse Image Search

In plain words

Transformation Invariant Reverse Image Search is a demo tool that finds matching images in a database even when they've been modified. Users can drag transformations onto a query image to see how the algorithm matches it against preprocessed images, regardless of scaling, rotation, skewing, cropping, or translation. The system performs partial image matching in sublinear time, making it useful for applications requiring robust image recognition across various transformations.

written from the facts on this page · September 2026

From the sources

Click and drag on the query image to apply a transformation. This demo showcases a reverse image search algorithm which performs 2D affine transformation-invariant partial image-matching in sublinear time. The algorithm compares an input image to its database of preprocessed images and determines if the input matches any image in the database. The database need not contain the original image as inputs can be matched to any 2D affine transformation of the original. This means that images which have been scaled (uniformly or non-uniformly), skewed, translated, cropped or rotated (or have undergone any combination of these transformations) can be identified as coming from the same source image…from pippy360.github.io

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