PointCloudSlicer: Gesture-based Segmentation of Point Clouds
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Segmentation is a fundamental problem in point-cloud processing, addressing points classification into consistent regions, the criteria for consistency being based on the application. In this paper, we introduce a simple, interactive framework enabling the user to quickly segment a point cloud in a few cutting gestures in a perceptually consistent way. As the user perceives the limit of a shape part, they draw a simple separation stroke over the current 2D view. The point cloud is then segmented without needing any intermediate meshing step. Technically, we find an optimal, perceptually consistent cutting plane constrained by user stroke and use it for segmentation while automatically restricting the extent of the cut to the closest shape part from the current viewpoint. This enables users to effortlessly segment complex point clouds from an arbitrary viewpoint with the possibility of handling self-occlusions.
Description
CCS Concepts: Human-centered computing → Interaction design; Computing methodologies → Shape modeling
@inproceedings{10.2312:egs.20231008,
booktitle = {Eurographics 2023 - Short Papers},
editor = {Babaei, Vahid and Skouras, Melina},
title = {{PointCloudSlicer: Gesture-based Segmentation of Point Clouds}},
author = {Gowtham, Hari Hara and Parakkat, Amal Dev and Cani, Marie-Paule},
year = {2023},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-209-7},
DOI = {10.2312/egs.20231008}
}