Analysis of Camera Pose Estimation Using 2D Scene Features for Augmented Reality Applications

被引：1

作者：

Alsadat, Shabnam Meshkat ^{[1
]}

Laurendeau, Denis ^{[1
]}

机构：

[1] Univ Laval, Quebec City, PQ, Canada

来源：

IMAGE AND SIGNAL PROCESSING (ICISP 2018) | 2018年 / 10884卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

Pose estimation; Exterior calibration; Augmented reality; LINE CORRESPONDENCES;

D O I：

10.1007/978-3-319-94211-7_27

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Augmented reality (AR) enables civil engineers and architects to visualize a representation of the structure that is going to be built at different stages of the construction. Overlaying a 3D model onto an image requires localizing the camera accurately in its environment. In this paper, we evaluate the camera pose estimation methods using circles and straight lines, as two of the common features visible in the architectural structures, by taking into account the relationship between the coordinates of the features in the 2D image and their corresponding positions in the 3D world. The proposed approach could be used for AR applications.

引用

页码：243 / 251

页数：9

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