N-ary implicit blends with topology control. (February 2015)

• Record Type: Journal Article
• Authors: Zanni, C.; Gleicher, M.; Cani, M.-P.
• Is Part Of: Computers & graphics. Volume 46(2015)
• Page Start: 1
• Page End: 13
• Publication Date: 2015-02
• Subjects: Implicit surfaces; Computer graphics -- Periodicals; 006.6
• DOI: 10.1016/j.cag.2014.09.012
• Languages: English
• ISSNs: 0097-8493

Abstract

Abstract: Constructive implicit surfaces are attractive for modeling and animation because they seamlessly handle shapes with complex and dynamic topology. However, the way they merge shapes is difficult to control. This paper introduces a solution: an improved blend operator that provides control over how topology changes are handled. It is based on a correction applied to the standard blending operator: the sum. Building on summation preserves the n-ary nature of the blend, providing the simplicity of arbitrary (e.g. flat) construction trees and segmentation invariance. The correction is based on projection to a reference case in the variation-space defined by the field and the norm of its gradient. It provides a single parameter, allowing for tuning behavior to achieve effects ranging from avoiding topological combination, through merging only during overlap, to merging at a distance. Dynamic adjustment of the parameter allows for context-dependent effects. Applications range from skeleton-based modeling, where shapes keep the topology of their skeleton, to objects that change topology during animation, with controllable merging. We illustrate the latter with Manga-style hair, where merging depends on the angle between hair wisps. Abstract : Graphical abstract: Abstract : Highlights: We introduce an n-ary blending with topology control parametrized by a single parameter. It enables the modeling of skeletal-blend, contact-blend and distance-blend. Designed for skeleton-based implicit surfaces, it preserves segmentation invariance. It correct a summation blend by analyzing its result in "variation space". We demonstrate the capability of our method on Manga-style hair modeling.