Automatic Generation of Geological Stories from a Single Sketch - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Automatic Generation of Geological Stories from a Single Sketch

Résumé

Describing the history of a terrain from a vertical geological cross-section is an important problem in geology, called geological restoration. Designing the sequential evolution of the geometry is usually done manually, involving many trials and errors. In this work, we recast this problem as a storyboarding problem, where the diierent stages in the restoration are automatically generated as storyboard panels and displayed as geological stories. Our system allows geologists to interactively explore multiple scenarios by selecting plausible geological event sequences and backward simulating them at interactive rate, causing the terrain layers to be progressively un-deposited, un-eroded, un-compacted, unfolded and un-faulted. Storyboard sketches are generated along the way. When a restoration is complete, the storyboard panels can be used for automatically generating a forward animation of the terrain history, enabling quick visualization and validation of hypotheses. As a proof-of-concept, we describe how our system was used by geologists to restore and animate cross-sections in real examples at various spatial and temporal scales and with diierent levels of complexity, including the Chartreuse region in the French Alps.
Fichier principal
Vignette du fichier
geological-storyboards_hal.pdf (3.47 Mo) Télécharger le fichier
Vignette du fichier
geological_storyboard_thumbnail.png (461.04 Ko) Télécharger le fichier
Vignette du fichier
geologicalrestoration.png (414.06 Ko) Télécharger le fichier
Vignette du fichier
geologicalstoryboard.png (258.83 Ko) Télécharger le fichier
Expressive_f.mp4 (11.69 Mo) Télécharger le fichier
GeoStoryPres.pdf (24.03 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Format : Figure, Image
Format : Figure, Image
Format : Figure, Image
Loading...

Dates et versions

hal-01817923 , version 1 (18-06-2018)

Identifiants

Citer

Maxime Garcia, Marie-Paule Cani, Rémi Ronfard, Claude Gout, Christian Perrenoud. Automatic Generation of Geological Stories from a Single Sketch. Expressive ’18 - The Joint Symposium on Computational Aesthetics and Sketch Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering, Aug 2018, Victoria, Canada. pp.17-19, ⟨10.1145/3229147.3229161⟩. ⟨hal-01817923⟩
1421 Consultations
622 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More