Depth Information Estimation-Based DIBR 3D Image Hashing Using SIFT Feature Points

2019 ◽  
pp. 371-379 ◽  
Author(s):  
Chen Cui ◽  
Shen Wang
Keyword(s):  
Depth Information ◽  
Image Hashing ◽  
Feature Points ◽  
3D Image ◽  
Sift Feature

scholarly journals Robust image hashing using SIFT feature points and DWT approximation coefficients

ICT Express ◽  
2018 ◽  
Vol 4 (3) ◽  
pp. 154-159 ◽  
Author(s):  
Lokanadham Naidu Vadlamudi ◽  
Rama Prasad V. Vaddella ◽  
Vasumathi Devara
Keyword(s):  
Image Hashing ◽  
Feature Points ◽  
Sift Feature ◽  
Robust Image ◽  
Approximation Coefficients ◽  
Robust Image Hashing

scholarly journals Pose Measurement for Unmanned Aerial Vehicle Based on Rigid Skeleton

2021 ◽  
Vol 11 (4) ◽  
pp. 1373
Author(s):  
Jingyu Zhang ◽  
Zhen Liu ◽  
Guangjun Zhang
Keyword(s):  
Measurement Errors ◽  
Structural Characteristics ◽  
Geometric Model ◽  
Formation Flight ◽  
Depth Information ◽  
Feature Points ◽  
Feature Point Extraction ◽  
Aerial Vehicle ◽  
Uav Navigation ◽  
Rigid Skeleton

Pose measurement is a necessary technology for UAV navigation. Accurate pose measurement is the most important guarantee for a UAV stable flight. UAV pose measurement methods mostly use image matching with aircraft models or 2D points corresponding with 3D points. These methods will lead to pose measurement errors due to inaccurate contour and key feature point extraction. In order to solve these problems, a pose measurement method based on the structural characteristics of aircraft rigid skeleton is proposed in this paper. The depth information is introduced to guide and label the 2D feature points to eliminate the feature mismatch and segment the region. The space points obtained from the marked feature points fit the space linear equation of the rigid skeleton, and the UAV attitude is calculated by combining with the geometric model. This method does not need cooperative identification of the aircraft model, and can stably measure the position and attitude of short-range UAV in various environments. The effectiveness and reliability of the proposed method are verified by experiments on a visual simulation platform. The method proposed can prevent aircraft collision and ensure the safety of UAV navigation in autonomous refueling or formation flight.

scholarly journals An Automatic Measurement Method for Absolute Depth of Objects in Two Monocular Images Based on SIFT Feature

2017 ◽  
Author(s):  
Lixin He ◽  
Jing Yang ◽  
Bin Kong ◽  
Can Wang
Keyword(s):  
Automatic Measurement ◽  
Depth Estimation ◽  
Depth Information ◽  
Scale Invariant ◽  
Line Segments ◽  
Sift Feature ◽  
Novel Approach ◽  
Straight Line ◽  
Object Depth ◽  
Scale Invariant Feature

It is one of very important and basic problem in compute vision field that recovering depth information of objects from two-dimensional images. In view of the shortcomings of existing methods of depth estimation, a novel approach based on SIFT (the Scale Invariant Feature Transform) is presented in this paper. The approach can estimate the depths of objects in two images which are captured by an un-calibrated ordinary monocular camera. In this approach, above all, the first image is captured. All of the camera parameters remain unchanged, and the second image is acquired after moving the camera a distance d along the optical axis. Then image segmentation and SIFT feature extraction are implemented on the two images separately, and objects in the images are matched. Lastly, an object depth can be computed by the lengths of a pair of straight line segments. In order to ensure that the best appropriate a pair of straight line segments are chose and reduce the computation, the theory of convex hull and the knowledge of triangle similarity are employed. The experimental results show our approach is effective and practical.

Electric Power Tower Inclination Angle Detection Method Based on SIFT Feature Matching

2012 ◽  
Vol 236-237 ◽  
pp. 759-764 ◽  
Author(s):  
Ping Yu ◽  
Bao Guo Dong ◽  
Yu Juan Xue
Keyword(s):  
Electric Power ◽  
Inclination Angle ◽  
Feature Matching ◽  
Feature Points ◽  
Simulation Test ◽  
Sift Feature ◽  
Material Resources ◽  
Maximum Angle ◽  
The Common ◽  
Routine Inspection

In video monitoring system of substation, in-process video inspection is used to detect abnormalities and provide corresponding solutions in a timely manner to avoid failures.As the common equipment，electric power tower’s inclination should be detected timely..It was hard to check the fault of tower inclination timely and accurately only by staff’s routine inspection,and it will spent much manpower and material resources by the manner of sensor. A manner of substation video inspection tower inclination angle detection based on SIFT feature matching and OTSU was presented in this paper. The tower inclination angle was calculated through the matched feature points. As is proved in the simulation test, this algorithm features simplicity and it can detect the maximum angle in all case of inclination .

Fast Image Stitching For Video Stabilization Using Sift Feature Points

2014 ◽  
Vol 39C (10) ◽  
pp. 957-966 ◽  
Author(s):  
Mostafiz Mehebuba Hossain ◽  
Hyuk-Jae Lee ◽  
Jaesung Lee
Keyword(s):  
Video Stabilization ◽  
Image Stitching ◽  
Feature Points ◽  
Sift Feature
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