Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images

Autor: Vieth, A., Vilanova, A., Lelieveldt, B.P.F., Eisemann, E., Höllt, T., O'Conner, L.

Publikováno v: Proceedings-2022 IEEE 15th Pacific Visualization Symposium, PacificVis 2022
arXiv, 2022:2202.09179. Cornell University Library

High-dimensional imaging is becoming increasingly relevant in many fields from astronomy and cultural heritage to systems biology. Visual exploration of such high-dimensional data is commonly facilitated by dimensionality reduction. However, common d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e227aad1a99f37453e3ed6c8e3c5223
http://arxiv.org/abs/2202.09179

A perceptually-validated metric for crowd trajectory quality evaluation

Autor: Josep Blat, Beatriz Cabrero Daniel, Julien Pettré, Ricardo Marques, Ludovic Hoyet

Publikováno v: Proceedings of the ACM on Computer Graphics and Interactive Techniques
Proceedings of the ACM on Computer Graphics and Interactive Techniques, ACM, 2021, 4 (3), pp.1-18. ⟨10.1145/3480136⟩
Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2021, 4 (3), pp.1-18. ⟨10.1145/3480136⟩

Simulating crowds requires controlling a very large number of trajectories and is usually performed using crowd motion algorithms for which appropriate parameter values need to be found. The study of the relation between parametric values for simulat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aed271fb3ce37ca5b70abaf135dbeff7
http://hdl.handle.net/10230/56046