Cargando…
sensaas: Shape‐based Alignment by Registration of Colored Point‐based Surfaces
sensaas is a tool developed for aligning and comparing molecular shapes and sub‐shapes. Alignment is obtained by registration of 3D point‐based representations of the van der Waals surface. The method uses local properties of the shape to identify the correspondence relationships between two point c...
Autores principales: | Douguet, Dominique, Payan, Frédéric |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7507133/ https://www.ncbi.nlm.nih.gov/pubmed/32573978 http://dx.doi.org/10.1002/minf.202000081 |
Ejemplares similares
-
Genetic Algorithm-Based Optimization for Color Point Cloud Registration
por: Liu, Dongsheng, et al.
Publicado: (2022) -
Colored Point Cloud Registration by Depth Filtering
por: Choi, Ouk, et al.
Publicado: (2021) -
A SENtence Supramodal Areas AtlaS (SENSAAS) based on multiple task-induced activation mapping and graph analysis of intrinsic connectivity in 144 healthy right-handers
por: Labache, L., et al.
Publicado: (2018) -
Iterative Most-Likely Point Registration (IMLP): A Robust Algorithm for Computing Optimal Shape Alignment
por: Billings, Seth D., et al.
Publicado: (2015) -
Affine Iterative Closest Point Algorithm Based on Color Information and Correntropy for Precise Point Set Registration
por: Liang, Lexian, et al.
Publicado: (2023)