In this paper, we propose a method for handling focal length changes in the SLAM algorithm. Our method is designed as a pre-processing step to first estimate the change of the camera focal length, and then compensate for the zooming effects before running the actual SLAM algorithm. By using our method, camera zooming can be used in the existing SLAM algorithms with minor modifications. In the experiments, the effectiveness of the proposed method was quantitatively evaluated. The results indicate that the method can successfully deal with abrupt changes of the camera focal length
A simultaneous localisation and mapping (SLAM) system continuously explores the environment to causa...
In this paper we present a novel simple procedure to compute the focal length of a camera. The metho...
It is now well known that increasing the number of features maintained in the mapping process of the...
2015 IEEE International Conference on Image Processing (ICIP), 27-30 Sept. 2015,Quebec City, QC, Can...
SLAM algorithms are widely used in augmented reality applications for registering virtual objects. M...
zooming effect Figure 1: Image compensation for removing the camera zooming effect. The left image i...
The paper presents a method aiming at improving the reliability of Simultaneous Localization And Map...
The fundamental shortcoming underlying monocular-based localizationand mapping solutions (SfM, Visua...
This paper presents a new unified feature para-metrization approach for monocular SLAM. The parametr...
The ability to localise a camera moving in a previously unknown environment is desirable for a wide ...
Abstract—This paper presents an approach of visual SLAM using line segments as primitives. We choose...
Bundle adjustment plays a vital role in feature-based monocular SLAM. In many modern SLAM pipelines,...
This paper presents a new monocular SLAM algorithm that uses straight lines extracted from images to...
© 2017 IEEE. This letter presents a novel approach to correct errors caused by accumulated scale dri...
Monocular SLAM has the potential to turn inexpensive cameras into powerful pose sensors for applicat...
A simultaneous localisation and mapping (SLAM) system continuously explores the environment to causa...
In this paper we present a novel simple procedure to compute the focal length of a camera. The metho...
It is now well known that increasing the number of features maintained in the mapping process of the...
2015 IEEE International Conference on Image Processing (ICIP), 27-30 Sept. 2015,Quebec City, QC, Can...
SLAM algorithms are widely used in augmented reality applications for registering virtual objects. M...
zooming effect Figure 1: Image compensation for removing the camera zooming effect. The left image i...
The paper presents a method aiming at improving the reliability of Simultaneous Localization And Map...
The fundamental shortcoming underlying monocular-based localizationand mapping solutions (SfM, Visua...
This paper presents a new unified feature para-metrization approach for monocular SLAM. The parametr...
The ability to localise a camera moving in a previously unknown environment is desirable for a wide ...
Abstract—This paper presents an approach of visual SLAM using line segments as primitives. We choose...
Bundle adjustment plays a vital role in feature-based monocular SLAM. In many modern SLAM pipelines,...
This paper presents a new monocular SLAM algorithm that uses straight lines extracted from images to...
© 2017 IEEE. This letter presents a novel approach to correct errors caused by accumulated scale dri...
Monocular SLAM has the potential to turn inexpensive cameras into powerful pose sensors for applicat...
A simultaneous localisation and mapping (SLAM) system continuously explores the environment to causa...
In this paper we present a novel simple procedure to compute the focal length of a camera. The metho...
It is now well known that increasing the number of features maintained in the mapping process of the...