Reconstructing geometric objects from the measures of their intersections with test sets
M\'arton Elekes, Tam\'as Keleti, Andr\'as M\'ath\'e

TL;DR
This paper investigates the minimal number of test sets needed to uniquely reconstruct geometric objects in from intersection measures, establishing bounds for various families of sets using harmonic analysis and probabilistic methods.
Contribution
It provides new bounds on the number of test sets required for reconstructing geometric objects, including translates and scaled copies, using harmonic analysis techniques.
Findings
For translates of a fixed set, the minimum is d test sets.
For scaled copies, d+1 test sets suffice in .
Reconstruction fails with fewer test sets in , even for simple intervals.
Abstract
Let us say that an element of a given family of subsets of can be reconstructed using test sets if there exist such that whenever and the Lebesgue measures of and agree for each then . Our goal will be to find the least such . We prove that if consists of the translates of a fixed reasonably nice subset of then this minimum is . In order to obtain this result we reconstruct a translate of a fixed function using test sets as well, and also prove that under rather mild conditions the measure function of the sections of is absolutely continuous for almost every direction . These proofs are based on techniques of harmonic analysis. We also show that if consists of the magnified…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Dynamics and Fractals · Topological and Geometric Data Analysis · Digital Image Processing Techniques
