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Poster De Conférence Année : 2021

SenSaaS: Shape-based Alignment by Registration of Colored Point-based Surfaces

Résumé

3D point clouds or 3D meshes are data structures used in many fields well known by large audience (robotics, 3D reconstruction, games, autonomous navigation...) to model surfaces or volumes. Such 3D representations can also be relevant in chemistry to describe molecules although they were not the most used so far. SENSAAS (SENsitive Surface As A Shape) is a shape-based alignment software using 3D pointbased representation of the van der Waals surface. SENSAAS is an original tool that combines methods dedicated to 3D registration, initially developed for the fusion of 3D point clouds collected by devices such as depth cameras or LiDAR scanners.
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Dates et versions

hal-03519840 , version 1 (10-01-2022)

Identifiants

  • HAL Id : hal-03519840 , version 1

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Dominique Douguet, Frédéric Payan, Lucas Grandmougin. SenSaaS: Shape-based Alignment by Registration of Colored Point-based Surfaces. 22th GGMM (Group of Graphism and Molecular Modeling) and the 10th SFCi (French Society of Chemoinformatics), Sep 2021, Lille, France. ⟨hal-03519840⟩
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