Sketch-based 3D Shape Modeling from Sparse Point Clouds

TL;DR

This paper introduces a sketch-based, interactive framework for reconstructing 3D models from sparse point clouds, leveraging human input to improve accuracy and detail in the modeling process.

Contribution

It presents a novel human-in-the-loop system with an interactive interface and optimization method for more accurate 3D shape modeling from sparse point clouds.

Findings

User sketches improve reconstruction accuracy.

Iterative editing enhances model refinement.

Framework effectively reconstructs 3D shapes from sparse data.

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 the absence of an explicit structure. In this work, we propose a human-in-the-loop sketch-based point cloud reconstruction framework to leverage users cognitive abilities in geometry extraction. We present an interactive drawing interface for 3D model creation from point cloud data with the help of user sketches. We adopt an optimization method in which 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. see video here https://www.youtube.com/watch?v=0H19NyXDRJE .