Modeling the complete geometry of general shapes from a single image is an ill-posed problem. User hints are often incorporated to resolve ambiguities and provide guidance during the modeling process. In this work, we present a novel interactive approach for extracting high-quality freeform shapes from a single image. This is inspired by the popular lofting technique in many CAD systems, and only requires minimal user input. Given an input image, the user only needs to sketch several projected cross sections, provide a “main axis”, and specify some geometric relations. Our algorithm then automatically optimizes the common normal to the sections with respect to these constraints, and interpolates between the sections, resulting in a high-quality 3D model that conforms to both the original image and the user input. The entire modeling session is efficient and intuitive. We demonstrate the effectiveness of our approach based on qualitative tests on a variety of images, and quantitative comparisons with the ground truth using synthetic images.

中文翻译：

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从单个图像交互式建模放样形状

从单个图像建模一般形状的完整几何是一个不适定的问题。用户提示通常被合并以解决歧义并在建模过程中提供指导。在这项工作中，我们提出了一种新颖的交互式方法，可以从单个图像中提取高质量的自由形状。这是受许多CAD系统中流行的放样技术的启发，并且只需要最少的用户输入即可。给定输入图像，用户只需绘制几个投影横截面，提供“主轴”，并指定一些几何关系。然后，我们的算法会根据这些约束条件自动优化截面的公共法线，并在截面之间进行插值，从而生成既符合原始图像又符合用户输入的高质量3D模型。整个建模过程高效而直观。我们通过对各种图像进行定性测试，并使用合成图像与地面真实情况进行定量比较，证明了我们方法的有效性。