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【SIGGRAPH Asia 2012专题*技术论文】
交互式带rgbd相机的室内场景建模
An Interactive Approach to Semantic Modeling of Indoor Scenes with an RGBD Camera
Tianjia Shao, Weiwei Xu, Kun Zhou, Jingdong Wang, Dongping Li, Baining Guo
摘要:我们提出一个互动的方式,语义建模与消费级相机rgbd室内场景。使用我们的方法,用户fi复位需要rgbd图像的室内场景,这是自动分割成一组区域的语义标签。如果分割是不能令人满意的,用户可以得出一些笔画引导算法达到更好的结果。在分割fi完成深度数据,每个语义的区域是用来匹配的三维模型检索从数据库。每一个模型转化根据图像深度产生的场景。大场景在一个单一的图像可以只包括一个场景的一部分,用户可以把多个图像构建场景中的其他部分。三维模型的建立为所有图像,然后转化和大学fi成完整的场景。我们证明了英法fi效率和鲁棒性的方法的几个现实场景建模。
Abstract:We present an interactive approach to semantic modeling of indoor scenes with a consumer-level RGBD camera. Using our approach,the user first takes an RGBD image of an indoor scene, which is automatically segmented into a set of regions with semantic labels. If the segmentation is not satisfactory, the user can draw some strokes to guide the algorithm to achieve better results. After the segmentation is finished, the depth data of each semantic region is used to retrieve a matching 3D model from a database. Each model is then transformed according to the image depth to yield the scene. For large scenes where a single image can only cover one part of the scene, the user can take multiple images to cons***ct other parts of the scene. The 3D models built for all images are then transformed and unified into a complete scene. We demonstrate the efficiency and robustness of our approach by modeling several real-world scenes.
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