Detection of Cut Transition in Videos Using Optical Flow and Clustering
In our everyday lives, videos have become an immersive and interactive media of
communications. The huge number of video makes it very hard to peruse and get the …
communications. The huge number of video makes it very hard to peruse and get the …
Transmission line sag measurement based on single aerial image
H Wang, S Han, LJ Lv, LJ Jin - 2017 24th International …, 2017 - ieeexplore.ieee.org
The sag of power transmission line is of great significance to the safe operation of the whole
transmission systems, and is also an important indicator of the line design. A new method to …
transmission systems, and is also an important indicator of the line design. A new method to …
Validation of Harris detector and eigen features detector
KY Kok, P Rajendran - IOP Conference Series: Materials Science …, 2018 - iopscience.iop.org
Harris detector is one of the most common features detection for applications such as object
recognition, stereo matching and target tracking. In this paper, a similar Harris detector …
recognition, stereo matching and target tracking. In this paper, a similar Harris detector …
Robust Visual SLAM systems with Constrained Sub-pixel Corners and High-quality Line Features
T Jin, W Tang, G Wang - Proceedings of the 5th International Conference …, 2022 - dl.acm.org
Aiming at the accuracy loss caused by integer corner coordinates and repeated detection of
the same line features in the point-line visual Simultaneous Localization and Mapping …
the same line features in the point-line visual Simultaneous Localization and Mapping …
Multi-Feature Nonlinear Optimization Motion Estimation Based on RGB-D and Inertial Fusion
X Zhao, C Miao, H Zhang - Sensors, 2020 - mdpi.com
To achieve a high precision estimation of indoor robot motion, a tightly coupled RGB-D
visual-inertial SLAM system is proposed herein based on multiple features. Most of the …
visual-inertial SLAM system is proposed herein based on multiple features. Most of the …
Feature extraction algorithm based on improved ORB with adaptive threshold
S Wang, A Zhang, Y Li - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
The ORB algorithm extracts too many feature points in the case of insufficient illumination,
the excessive clustering of feature points will lead to partial loss of information extracted by …
the excessive clustering of feature points will lead to partial loss of information extracted by …
Overview on Vision-Based 3D Object Recognition Methods
T Dong, X Qi, Q Zhang, W Li, L Xiong - … 2019, Beijing, China, August 23–25 …, 2019 - Springer
In the fields of computer vision and pattern recognition, 3D object recognition has always
been one of the most challenging problems, and has become an important direction of …
been one of the most challenging problems, and has become an important direction of …
用于三维重建的改进特征匹配策略.
吴越， 李胜旺， 白宇 - Journal of Hebei University of Science …, 2019 - search.ebscohost.com
为了能够更加快速地获取特征点以及提高特征匹配结果的稳定性, 提出了一种改进的匹配策略.
首先, 对图像进行下采样, 通过低分辨率的图像进行匹配, 快速筛选掉匹配失败的匹配对 …
首先, 对图像进行下采样, 通过低分辨率的图像进行匹配, 快速筛选掉匹配失败的匹配对 …