Abstract
We study a realization of motion and similarity group equivalence classes of n≥ 1 labeled points in R^k, k≥ 1 as a metric space with a computable metric. Our study is motivated by applications in computer vision.
On a realization of motion and similarity group equivalence classes of labeled points in R^k with applications to computer vision
Related papers
Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).
- On local real algebraic geometry and applications to kinematics (2019)55% match
- Complete Endomorphisms in Computer Vision (2020)54% match
- Visual Generalized Coordinates (2015)54% match
- Multiview Sensing With Unknown Permutations: An Optimal Transport Approach (2021)53% match
- Joint Estimation of Image Representations and their Lie Invariants (2020)53% match
- Invariant-based Mapping of Space During General Motion of an Observer (2023)52% match
- The Induced Matching Distance: A Novel Topological Metric with Applications in Robotics (2025)52% match
- Signatures in Shape Analysis: an Efficient Approach to Motion Identification (2019)52% match