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Exploration and Analysis of High-Dimensional Visual Feature Space

This presentation delves into the exploration and analysis of high-dimensional visual feature spaces, drawing from my PhD thesis work. It highlights the dissonance encountered in various visual problems, exemplified through practical exercises such as sorting numeric values, calculating all-pairs shortest distances, and aligning RNA sequences. Key insights include the application of the Shape-diameter Function in shape analysis and techniques for image appearance exploration and mode detection through Median Shift. Engage in a journey that intertwines complex visual queries with foundational analytical methods.

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Exploration and Analysis of High-Dimensional Visual Feature Space

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  1. Lior Shapira Exploration and Analysis of High-Dimensional Visual Feature Space Supervisors: Daniel Cohen-Or (TAU), Ariel Shamir (IDC)

  2. The Dissonance of Visual Problems Exhibit A - Sort these numbers 1,127,545,144,343,123,98,9099,456,23.45,144,4567,612.2,10002,3.5,-1.4… Exhibit B – Find all-pairs-shortest distances a d i Exhibit C – Align RNA b e c h g f

  3. The Dissonance of Visual Problems Is this a dog? Can you cut this object into parts? Connect the dots Is it similar to this one? Can you find the faces?

  4. In this talk • Results from my PhD thesis • Shape Analysis using the Shape-diameter Function • Image Appearance Exploration • Mode-detection via Median Shift

  5. A Big Thank you

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