Sketch-based 3D shape modeling from sparse point clouds

Xusheng Du; Yi He; Xi Yang; Chia-Ming Chang; Haoran Xie

doi:10.1117/12.2626116

30 April 2022 Sketch-based 3D shape modeling from sparse point clouds

Xusheng Du, Yi He, Xi Yang, Chia-Ming Chang, Haoran Xie

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121773K (2022) https://doi.org/10.1117/12.2626116
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

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.

Citation Download Citation

Xusheng Du, Yi He, Xi Yang, Chia-Ming Chang, and Haoran Xie "Sketch-based 3D shape modeling from sparse point clouds", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121773K (30 April 2022); https://doi.org/10.1117/12.2626116

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