三维物体重建中的背景作用

I. Enesi, A. Kuqi, Ambra Korra
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引用次数: 0

摘要

摄影测量是一种不断发展的三维重建技术,由于硬件和软件部分的简单和低成本。它被定义为从二维照片中收集物理信息来生成三维重建。有多种软件可用于执行此任务,每种软件在质量、性能和价格方面都有自己的规格。在三维重建中,最重要的因素之一是尺寸的准确性,特别是在医学备件或假肢领域。毫无疑问,在硬件和软件中,有许多共同的因素决定了最终的精度。确定重建对象的尺寸,特别是当焦点对象很小且具有复杂的几何形状时,是主要任务之一。为了实现3D重建,我们将利用开源软件(如Meshroom)结合使用MeshLab进行的测量,以及Agisoft等专有软件。实验结果表明,Agisoft的性能优于meshroom和meshlab,提供了更多的优化技术,减少了处理时间,在重建的3D物体中具有更高的视觉质量,并且尺寸测量精度更高。
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The Background Role in 3D Object Reconstruction
Photogrammetry is a continuously growing 3D reconstruction technique, due to the simplicity and low costs of hardware and software parts. It is defined as the collection of physical information from 2D photos to generate 3D reconstructions. There are various software options available to perform this task, each with its own specifications in terms of quality, performance, and price. In 3D reconstruction, one of the most determining factors is the accuracy of dimensions, especially when it comes to the field of spare parts or prostheses in medicine. Undoubtedly there are many concurrent factors that establish the final precision, present in both hardware and software. Determining the dimensions of the reconstructed object, especially when the object in focus is small and has a complex geometric shape, is one of the main tasks. To achieve the 3D reconstruction, we will utilize open-source software such as Meshroom combined with measurements taken using MeshLab, along with proprietary software like Agisoft. Experimental results show that Agisoft performs better than Meshroom&Meshlab, offering more optimization techniques, reducing processing time and a higher visual quality in the reconstructed 3D object as well as a higher accuracy in size measurement.
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