Environmental Objects for Authoring Procedural Scenes. (26th October 2015)

• Record Type: Journal Article
• Authors: Grosbellet, Francois; Peytavie, Adrien; Guérin, Éric; Galin, Éric; Mérillou, Stéphane; Benes, Bedrich
• Is Part Of: Computer graphics forum. Volume 35:Number 1(2016)
• Page Start: 296
• Page End: 308
• Publication Date: 2015-10-26
• Subjects: appearance modelling -- natural phenomena -- [CCS]: Computing methodologies; [Computer graphics]: Shape Modeling; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.12726
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract : We propose a novel approach for authoring large scenes with automatic enhancement of objects to create geometric decoration details such as snow cover, icicles, fallen leaves, grass tufts or even trash. We introduce environmental objects that extend an input object geometry with a set of procedural effects that defines how the object reacts to the environment, and by a set of scalar fields that defines the influence of the object over of the environment. The user controls the scene by modifying environmental variables, such as temperature or humidity fields. Abstract: We propose a novel approach for authoring large scenes with automatic enhancement of objects to create geometric decoration details such as snow cover, icicles, fallen leaves, grass tufts or even trash. We introduce environmental objects that extend an input object geometry with a set of procedural effects that defines how the object reacts to the environment, and by a set of scalar fields that defines the influence of the object over of the environment. The user controls the scene by modifying environmental variables, such as temperature or humidity fields. The scene definition is hierarchical: objects can be grouped and their behaviours can be set at each level of the hierarchy. Our per object definition allows us to optimize and accelerate the effects computation, which also enables us to generate large scenes with many geometric details at a very high level of detail. In our implementation, a complex urban scene of 10 000 m 2, represented with details of less than 1 cm, can be locally modified and entirely regenerated in a few seconds.