2D-3D Registration using Intensity Gradients

被引：0

作者：

Duraisamy, Prakash ^{[1
]}

Belkhouche, Yassine ^{[1
]}

Jackson, Stephen ^{[2
]}

Namuduri, Kamesh ^{[3
]}

Buckles, Bill ^{[1
]}

机构：

[1] Univ N Texas, Dept Comp Sci & Engn, Denton, TX 76203 USA

[2] Univ N Texas, Dept Math, Denton, TX 76203 USA

[3] Univ N Texas, Dept Elect Engn, Denton, TX 76203 USA

来源：

SIGNAL AND DATA PROCESSING OF SMALL TARGETS 2011 | 2011年 / 8137卷

关键词：

camera; lidr; calibration; registration; intensity;

D O I：

10.1117/12.894288

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This papers explores the use of an error metric based on intensity gradients in an automatic camera pose recovery method for 2D-3D image registration. The method involves extraction of lines from the 3D image and then uses intensity gradients to register these onto the 2D image. This approach have overcome the limitations of matching the features to register the 2D-3D images. The goal of our algorithm is to estimate pose parameters without any apriori knowledge (GPS) and in less processing time. We demonstrated the validity of our approach by experimenting on perspective view using lines as feature.

引用

页数：6