The increase in computational power in recent years has opened a new door for image processing techniques. Three-dimensional object recognition, identification, pose estimation, and mapping are becoming popular. The need for real-world objects to be mapped into three-dimensional spatial representation is greatly increasing, especially considering the heap jump we obtained in the past decade in virtual reality and augmented reality. This paper discusses an algorithm to convert an array of captured images into estimated 3D coordinates of their external mappings. Elementary methods for generating three-dimensional models are also discussed. This framework will help the community in estimating three-dimensional coordinates of a convex-shaped object from a series of two-dimension images. The built model could be further processed for increasing the resemblance of the input object in terms of its shapes, contour, and texture.

中文翻译：

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从二维图像系列生成三维坐标估计和图像重建的基本方法

近年来计算能力的提高为图像处理技术打开了一扇新的大门。三维物体识别、识别、姿态估计和映射正在变得流行。将现实世界的对象映射到三维空间表示的需求正在大大增加，特别是考虑到我们在过去十年中在虚拟现实和增强现实中获得的堆跳。本文讨论了一种将捕获图像数组转换为其外部映射的估计 3D 坐标的算法。还讨论了生成三维模型的基本方法。该框架将帮助社区从一系列二维图像中估计凸形物体的三维坐标。