1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2024
Wormhole Loss for Partial Shape Matching
Amit Bracha, Thomas Dagès, Ron Kimmel
When matching parts of a surface to its whole, a fundamental question arises: Which points should be included in the matching process? The issue is intensified when using isometry…
cs.CV2022★ 1 cited
Partial Shape Similarity via Alignment of Multi-Metric Hamiltonian Spectra
David Bensaïd, Amit Bracha, Ron Kimmel
Evaluating the similarity of non-rigid shapes with significant partiality is a fundamental task in numerous computer vision applications. Here, we propose a novel axiomatic method…
cs.CV2021★ 1 cited
Depth Refinement for Improved Stereo Reconstruction
Amit Bracha, Noam Rotstein, David Bensaïd +2
Depth estimation is a cornerstone of a vast number of applications requiring 3D assessment of the environment, such as robotics, augmented reality, and autonomous driving to name a…