CVNov 9, 2022

Similarity among the 2D-shapes and the analysis of dissimilarity scores

arXiv:2211.04998v11 citationsh-index: 21
Originality Synthesis-oriented
AI Analysis

This work addresses shape analysis for computer vision or graphics applications, but appears incremental as it builds on existing concepts without claiming major breakthroughs.

The paper tackled the problem of measuring dissimilarities among 2D shapes by presenting a simple and intuitive method, and compared several ways to interpret and visualize the resulting dissimilarity matrix.

We present a conceptually simple and intuitive method to calculate and to measure the dissimilarities among 2D shapes. Several methods to interpret and to visualize the resulting dissimilarity matrix are presented and compared.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes