3D Deformable Spatial Pyramid for Dense 3D Motion Flow of Deformable Object

Authors
Hur, JunhwaLim, HwasupAhn, Sang Chul
Issue Date
2014
Publisher
SPRINGER-VERLAG BERLIN
Citation
10th International Symposium on Visual Computing (ISVC), v.8887, pp.118 - 127
Abstract
This paper presents an algorithm for finding the dense motion flow of deformable objects from RGB-D images. We introduce a 3D deformable spatial pyramid model by reformulating the previous 2D deformable spatial pyramid model [1] with depth information. Our algorithm recasts the problem of estimating 3D motion of deformable objects as a problem of estimating 2D motions of a set of grid cells where each pixel contains a viewpoint-invariant feature vector. These grid cells are controlled by a pyramid graph model. Our approach significantly reduces the computational cost through a 2D correspondence search and efficiently handles even large deformations with the pyramid graph model. As demonstrated in the experimental results, the proposed algorithm shows robustness in various deformation scenarios.
ISSN
0302-9743
URI
https://pubs.kist.re.kr/handle/201004/115406
Appears in Collections:
KIST Conference Paper > 2014
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE