| 基于固定式相机对动态目标跟踪的三维重建 |
 点此下载全文 |
| 引用本文：匡文彬1?覮，梁文章2，陈姝1，林敏1.基于固定式相机对动态目标跟踪的三维重建[J].计算技术与自动化,2018,(4):95-102 |
| 摘要点击次数: 913 |
| 全文下载次数: 0 |
|
|
| 中文摘要:通过图像的三维建模方法往往通过移动拍摄设备拍摄静止物体来达到三维重建的目的，却不适用于对移动中的物体进行三维重建。三维重建中常用提取SIFT特征作为图像特征匹配，然而SIFT特征在某些无纹理或者纹理少的情形表现效果不佳，而且错误匹配较多。采用动态目标提取和目标跟踪技术应用到动态目标的三维重建。并用网格运动统计（GMS）的特征点匹配算法来作为图像匹配，用来实现固定相机对动态目标物体的三维重建。 |
| 中文关键词:三维重建 SIFT 动态目标提取 目标跟踪 网格运动统计 固定相机 |
| |
| 3D Reconstruction of Dynamic Target Tracking Based on Fixed Camera |
|
|
| Abstract:The three-dimensional modeling method through the images often shooting the still object by the moving photographing device，Which does not suitable for 3D reconstruction of dynamic objects. SIFT feature is commonly used in 3D reconstruction as image feature matching. However， the SIFT feature performs poorly in some non-textured or less textured cases， and has more false matches. In this paper， dynamic target extraction and target tracking techniques are applied to 3D reconstruction of dynamic targets. The grid motion statistical （GMS） features matching algorithmis used for image matching， which is used to realize moving object three-dimensional reconstruction based on fixed camera. |
| keywords:three dimensional reconstruction SIFT feature dynamic target extraction target tracking grid motion statistics fixed camera |
| 查看全文 查看/发表评论 下载pdf阅读器 |
次