AI Paper Atlas

Research map / 3D vision / Face and shape

Shape Analysis With Hyperbolic Wasserstein Distance

CVPR 2016 · 3D vision › Face and shape · approach: Optimization-based shape matching · 22 citations (OpenAlex)

Check your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use hyperbolic Wasserstein distance instead of cortical surface areaCortical shape classification with the complex tree classifier · ADNI1 baseline, AD vs healthy controlsclassification rate: 41.7% -> 76.7%Helped
Use hyperbolic Wasserstein distance instead of cortical surface volumeCortical shape classification with the complex tree classifier · ADNI1 baseline, AD vs healthy controlsclassification rate: 51.7% -> 76.7%Helped
Compare happier and angry expressions against the same happy-face templateHyperbolic Wasserstein distance · BU-3DFE facial expressionshyperbolic Wasserstein distance: 25.94 vs 11.75Mixed

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy