JOURNAL ARTICLE

Sketch-based 3D shape modeling from sparse point clouds

Xusheng DuYi HeXi YangChia-Ming ChangHaoran Xie

Year: 2022 Journal:   International Workshop on Advanced Imaging Technology (IWAIT) 2022 Pages: 119-119

Abstract

3D modeling based on point clouds is an efficient way to reconstruct and create detailed 3D content. However, the geometric procedure may lose accuracy due to high redundancy and no explicit structure. In this work, we propose a human-in-the-loop sketch-based point clouds reconstruction framework to leverage the users' cognitive ability in geometry extraction. We present an interactive drawing interface for 3D model creations from point cloud data with the help of user sketches. We adopt an optimization method that the user can continuously edit the contours extracted from the obtained 3D model and retrieve the model iteratively. Finally, we verify the proposed user interface for modeling from sparse point clouds.

Keywords:
Point cloud Computer science Sketch Leverage (statistics) Computer vision Solid modeling Point (geometry) Computer graphics (images) Geometric modeling Artificial intelligence User interface Algorithm Geometry Mathematics

Metrics

7
Cited By
1.62
FWCI (Field Weighted Citation Impact)
16
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

3D Shape Modeling and Analysis
Physical Sciences →  Engineering →  Computational Mechanics
Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
3D Surveying and Cultural Heritage
Physical Sciences →  Earth and Planetary Sciences →  Geology
© 2026 ScienceGate Book Chapters — All rights reserved.