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Special Issue on Large-Scale 3D Modeling of Urban Indoor or Outdoor Scenes from Images and Range Scans

机译：从图像和范围扫描的城市室内或室外场景大规模3D建模的特刊

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摘要

3D reconstruction and modeling of the physical world has progressed very far over the last few years, driven by advances in 3D imaging and sensing technology, intelligent algorithms, and an increased capability to process very large data sets. 3D acquisition technology provides us with datasets of various resolutions and accuracies in outdoor or indoor environments. High resolution quality images can be now acquired by consumer grade cameras and cell phones. 3D range data can be acquired from highly accurate terrestrial lidar sensors, less accurate but faster sensors mounted on moving vehicles, or fast and inexpensive RGBD sensors for indoor environments. Many new challenges need to be addressed in modeling and understanding these datasets. A major issue has to do with the need to process voluminous data sets. That means that algorithms that explore the big-data nature of the indoor/outdoor datasets are becoming important. Issues related to big data manifest themselves in two ways: very large data collections and very high resolution of each image or range scan. With this issue we would like to explore new avenues in 3D modeling from images and range data. Applications of these methods can be seen in historical preservation, urban planning, digital mapping, architecture, navigation, virtual reality, e-commerce, digital cinematography, computer games, just to name a few.
机译：在过去几年中，物理世界的三维重建和建模已经在过去几年中，由3D成像和传感技术，智能算法和增加能力加工非常大的数据集的能力驱动。 3D采集技术为我们提供各种分辨率的数据集和室外环境的精致性。高分辨率质量图像现在可以由消费者级摄像机和手机获取。 3D范围数据可以从高度精确的地面激光雷达传感器获取，更准确但安装在移动车辆上的更快的传感器，或用于室内环境的快速和廉价的RGBD传感器。需要在建模和理解这些数据集中解决许多新挑战。对于处理庞大数据集的需要，一个主要问题必须进行。这意味着探索室内/室外数据集的大数据性质的算法变得重要。与大数据相关的问题以两种方式表现出：非常大的数据收集和每个图像或范围扫描的非常高的分辨率。有了这个问题，我们希望从图像和范围数据中探索3D建模中的新途径。这些方法的应用可以在历史保存，城市规划，数字映射，架构，导航，虚拟现实，电子商务，数字电影摄影，电脑游戏中看到，只是为了命名几个。

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