Constructing 3D Outlines of Objects based on Feature Points using Monocular Camera

Sangho Park, Jeong-Oog Lee, D. Baik
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引用次数: 1

Abstract

This paper presents a method to extract 3D outlines of objects in an image obtained from a monocular vision. After detecting the general outlines of the object by MOPS(Multi-Scale Oriented Patches) -algorithm and we obtain their spatial coordinates. Simultaneously, it obtains the space-coordinates with feature points to be immanent within the outlines of objects through SIFT(Scale Invariant Feature Transform)-algorithm. It grasps a form of objects to join the space-coordinates of outlines and SIFT feature points. The method which is proposed in this paper, it forms general outlines of objects, so that it enables a rapid calculation, and also it has the advantage capable of collecting a detailed data because it supplies the internal-data of outlines through SIFT feature points.
基于特征点的单目相机物体三维轮廓构建
本文提出了一种从单目视觉图像中提取物体三维轮廓的方法。通过MOPS(Multi-Scale Oriented Patches)算法检测目标的大致轮廓,得到目标的空间坐标。同时,通过SIFT(Scale Invariant feature Transform,尺度不变特征变换)算法获得目标轮廓内的特征点所在的空间坐标。它抓住一种形式的对象,将轮廓的空间坐标与SIFT特征点连接起来。本文提出的方法既形成了目标的总体轮廓,从而实现了快速的计算,又通过SIFT特征点提供了轮廓的内部数据,具有收集详细数据的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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