SIFT矢量场构建算法

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE) Pub Date : 2015-11-06 DOI:10.1109/ICICSE.2015.28

Jing Shen, Haibo Liu, Yanxia Wu, Xingmei Wang

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引用次数: 0

摘要

目标检测是计算机视觉研究的重要组成部分，它直接影响到后续的目标识别与跟踪、对场景的分析与理解。本文基于尺度空间理论和SIFT特征匹配算法，提出了一种构建SIFT向量场的方法。通过四种不同的应用场景，我们展示了在运动目标算法中构建SIFT向量场作为目标检测方法基础的价值。

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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SIFT Vector Field Building Algorithm

Object detection is an important part of computer vision research, which directly affects the follow-on object identification and tracking, analysis and understanding of the scene. In this paper, based on scale space theory and the SIFT feature matching algorithm, we propose a method to create a SIFT vector field. Through four different application scenarios we demonstrate the value of building a SIFT vector field in our moving object algorithm as the basis of our object detection approach.

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来源期刊

2015 Eighth International Conference on Internet Computing for Science and Engineering (ICICSE)

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