Publication Type:

Book Chapter

Source:

Lecture Notes in Computational Vision and Biomechanics, p.409-419 (2019)

ISBN:

9783030006648

URL:

https://www.researchgate.net/publication/330077255_A_Spectral_Approach_for_Segmentation_and_Deformation_Estimation_in_Point_Cloud_Using_Shape_Descriptors

Abstract:

In this paper, we propose a new framework for segmentation and deformation estimation in texture-less point clouds. Given a reference point cloud and a corresponding deformed point cloud, our approach first segments both the point clouds using OBB-LBS (Oriented Bounding Box-Laplace Beltrami Spectral) and estimates the semi-global dense spectral shape descriptors. These coarse descriptors identify the segments which need to be further investigated for localizing the area of deformation at a finer level.

Notes:

cited By 0

Cite this Research Publication

J. Kalyani, Vaiapury, K., and Parameswaran, L., “A Spectral Approach for Segmentation and Deformation Estimation in Point Cloud Using Shape Descriptors”, in Lecture Notes in Computational Vision and Biomechanics, 2019, pp. 409-419.