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 .
翻译:以点云为基础的 3D 建模是重建和创建详细的 3D 内容的有效方式。 但是, 几何程序可能会由于高冗余和缺乏明确结构而失去准确性。 在此工作中, 我们提议了一个基于人- 人- 环状草图的点云重建框架, 以利用用户在几何提取方面的认知能力。 我们展示了一个互动绘图界面, 用于在用户草图的帮助下利用点云数据创建 3D 模型。 我们采用了一种优化方法, 用户可以不断编辑从获得的 3D 模型中提取的轮廓, 并迭接取模型 。 最后, 我们验证了从稀有点云中建模的拟议用户界面 。 见这里的视频: https://www.youtube.com/ watch?v=0H19NyXDRJE 。