论文标题
CAD检测：CAD模型与3D扫描的可变形拟合
CAD-Deform: Deformable Fitting of CAD Models to 3D Scans
论文作者
论文摘要
形状的检索和对齐方式是将3D扫描变成轻量级CAD表示形式的有前途的途径，可用于内容创建，例如移动或AR/VR游戏场景。不幸的是，CAD模型检索受到标准3D形状集合中模型的可用性（例如Shapenet）的限制。在这项工作中，我们通过引入CAD传统来解决这一缺点，该方法通过非固定变形检索的CAD模型获得了更准确的CAD-to-scan拟合。我们的关键贡献是一种新的非刚性变形模型，结合了平滑转换和锋利特征的保存，从CAD模型到3D扫描也非常紧密，并保持了手工模型的CAD对象的清洁，高质量的表面特性。一系列彻底的实验表明，我们的方法实现了更严格的扫描量表，从而使扫描现实世界环境的数字复制更加准确，同时保留了合成CAD环境中存在的重要几何特征。
Shape retrieval and alignment are a promising avenue towards turning 3D scans into lightweight CAD representations that can be used for content creation such as mobile or AR/VR gaming scenarios. Unfortunately, CAD model retrieval is limited by the availability of models in standard 3D shape collections (e.g., ShapeNet). In this work, we address this shortcoming by introducing CAD-Deform, a method which obtains more accurate CAD-to-scan fits by non-rigidly deforming retrieved CAD models. Our key contribution is a new non-rigid deformation model incorporating smooth transformations and preservation of sharp features, that simultaneously achieves very tight fits from CAD models to the 3D scan and maintains the clean, high-quality surface properties of hand-modeled CAD objects. A series of thorough experiments demonstrate that our method achieves significantly tighter scan-to-CAD fits, allowing a more accurate digital replica of the scanned real-world environment while preserving important geometric features present in synthetic CAD environments.
