Geometric Flows of Curves in Shape Space for Processing Motion of Deformable Objects

We introduce techniques for the processing of motion and animations of non‐rigid shapes. The idea is to regard animations of deformable objects as curves in shape space. Then, we use the geometric structure on shape space to transfer concepts from curve processing in ℝn to the processing of motion o...

Full description

Saved in:
Bibliographic Details
Published in:Computer graphics forum Vol. 35; no. 2; pp. 295 - 305
Main Authors: Brandt, Christopher, von Tycowicz, Christoph, Hildebrandt, Klaus
Format: Journal Article
Language:English
Published: Oxford Blackwell Publishing Ltd 01.05.2016
Subjects:
Algorithms
Analysis
Animation
Categories and Subject Descriptors (according to ACM CCS)
Computation
Computer animation
Curves (geometry)
Deformation
Formability
Geodesy
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Physically based modeling
Image processing systems
Smoothing
Studies
ISSN:0167-7055, 1467-8659
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We introduce techniques for the processing of motion and animations of non‐rigid shapes. The idea is to regard animations of deformable objects as curves in shape space. Then, we use the geometric structure on shape space to transfer concepts from curve processing in ℝn to the processing of motion of non‐rigid shapes. Following this principle, we introduce a discrete geometric flow for curves in shape space. The flow iteratively replaces every shape with a weighted average shape of a local neighborhood and thereby globally decreases an energy whose minimizers are discrete geodesics in shape space. Based on the flow, we devise a novel smoothing filter for motions and animations of deformable shapes. By shortening the length in shape space of an animation, it systematically regularizes the deformations between consecutive frames of the animation. The scheme can be used for smoothing and noise removal, e.g., for reducing jittering artifacts in motion capture data. We introduce a reduced‐order method for the computation of the flow. In addition to being efficient for the smoothing of curves, it is a novel scheme for computing geodesics in shape space. We use the scheme to construct non‐linear “Bézier curves” by executing de Casteljau's algorithm in shape space.
Bibliography:ark:/67375/WNG-W2161KMG-D
istex:BECFF88764CA89601CE2D3A25B125BAFB26128E3
ArticleID:CGF12832
Supporting Information
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12832