Sketch-based 3D Shape Modeling from Sparse Point Clouds
This addresses the challenge of creating detailed 3D content from sparse data for users in modeling and reconstruction, but it is incremental as it builds on existing optimization methods with a new interface.
The paper tackles the problem of inaccurate 3D modeling from point clouds by proposing a human-in-the-loop sketch-based framework, resulting in an interactive interface that allows users to edit contours and iteratively retrieve models from sparse point clouds.
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 .