3D Computer Vision: From Points to Concepts

机译：3D计算机视觉：从点到概念

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The emergence of cheap structured light sensors, like the Kinect, opened the door to an increased interest in all matters related to the processing of 3D visual data. Applications for these technologies are abundant, from robot vision to 3D scanning. In this paper we go through the main steps used on a typical 3D vision system, from sensors and point clouds up to understanding the scene contents, including key point detectors, descriptors, set distances, object recognition and tracking and the biological motivation for some of these methods. We present several approaches developed at our lab and some current challenges.

机译：像Kinect一样的廉价结构光传感器的出现将门打开了对与3D视觉数据处理相关的所有事项的兴趣增加。从机器人视觉到3D扫描，这些技术的应用很丰富。在本文中，我们经历了典型的3D视觉系统上使用的主要步骤，从传感器和点云到解，以了解场景内容，包括关键点探测器，描述符，设置距离，对象识别和跟踪以及一些的生物动机这些方法。我们提出了在我们实验室和一些当前挑战中开发的几种方法。

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《International Conference on Pattern Recognition Applications and Methods》|2015年||共12页
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Luis A. Alexandre;
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中图分类 TP391.41-53;
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3D Computer Vision: From Points to Concepts

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