Name
Abstract | ||
|---|---|---|
Finding similar points in globally or locally similar shapes has been studied extensively through the use of various point descriptors or shape-matching methods. However, little work exists on finding similar points in dissimilar shapes. In this paper, we present the results of a study where users were given two dissimilar two-dimensional shapes and asked to map a given point in the first shape to... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TVCG.2017.2730877 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Shape,Predictive models,Correlation,Semantics,Two dimensional displays,Three-dimensional displays,Computational modeling | Computer vision,Similarity (geometry),Computer science,Correlation,Probability distribution,Statistical model,Artificial intelligence,User studies,Semantics | Journal |
Volume | Issue | ISSN |
24 | 8 | 1077-2626 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Hecher | 1 | 16 | 2.04 |
| Paul Guerrero | 2 | 99 | 10.97 |
| Peter Wonka | 3 | 2854 | 165.59 |
| Michael Wimmer | 4 | 1279 | 81.45 |