Improved RANSAC features image‐matching method based on SURF

Liu, Jinliang; Bu, Fanliang

doi:10.1049/joe.2018.9198

Cited by 28 publications

(21 citation statements)

References 4 publications

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“…At the same time, it has a strong antinoise ability, but the amount of calculation is very large, and the operation efficiency is very low. e SURF algorithm [28] is several times faster than the SIFT algorithm and has relatively good robustness to the differences in illumination, affine, and projection, and the computational efficiency has been significantly improved, but it is not stable enough. e MSER algorithm [29] is based on the maximum stable extreme value area, a grey-scale image is thresholder for banalization, and the threshold is increased sequentially, which solves the invariance of the affine change of the image grey.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching

Du¹,

Ao²,

2021

Complexity

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The original target tracking algorithm based on a single model has long been unable to meet the complex and changeable characteristics of the target, and then there are problems such as poor tracking accuracy, target loss, and model mismatch. The interactive multimodel algorithm uses multiple motion models to track the target, obtains the degree of adaptation between the actual motion state of the target and each model according to the calculated likelihood function, and then combines the updated weight values of each filter to obtain a weighted sum. Therefore, the interactive multimodel algorithm can achieve better performance. This paper proposes an improved interactive multimodel algorithm that can achieve player tracking and trajectory feature matching. First, this paper proposes an improved Kalman filtering (IKF) algorithm. This method is developed from the unbiased conversion measurement Kalman filter, which can obtain more accurate target state and covariance estimation. Secondly, using the parallel processing mode of the IMM algorithm to efficiently solve the data association between multiple filters, the IMM-IKF model is proposed. Finally, in order to solve the problem of low computational efficiency and high mismatch rate in image feature point matching, a method of introducing a minimum spanning tree in two-view matching is proposed. Experimental results show that the improved IMM-IKF algorithm can quickly respond to changes in the target state and can find the matching path with the lowest matching cost. In the case of ensuring the matching accuracy, the real-time performance of image matching is ensured.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching

Du¹,

Ao²,

2021

Complexity

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“…Synthesizing Tables 1 to 4, it shows that compared with SURF algorithm and literature algorithm, 13,14 the algorithm in this paper has better matching effect and shorter time-consuming.…”

Section: Methodsmentioning

confidence: 89%

A fast RFID image matching algorithm for multi-tag identification and distribution optimization

Zhang

Yu²,

Lin

et al. 2021

Journal of Algorithms & Computational Technology

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We propose an improved image matching algorithm that combines the minimum feature value algorithm to extract feature points and the direction gradient histogram to calculate the description vector. This algorithm is oriented to RFID multi-tag identification and distribution optimization in the actual scenario, and the traditional SURF algorithm has the problems of low matching accuracy and high complexity in multi-tag matching. This algorithm effectively improves the positioning accuracy of the RFID multi-tag positioning system. The experimental results show that the matching success rate of the improved algorithm in this paper is 87.4%, which is 50% higher than the SURF algorithm. Not only the matching accuracy is greatly improved, but the running speed is also increased by 48%. The algorithm in this paper has high matching accuracy and real-time performance.It provides an effective way for RFID multi-tag real-time fast matching and precise positioning.

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“…Therefore, this paper adopts RANSAC (random sample consensus) algorithm. 25 The algorithm first uses all the data in the set to build an effective mathematical model suitable for most of the data. By setting the distance threshold, the invalid data which is not suitable for this mathematical model would be eliminated.…”

Section: Stereo Matchingmentioning

confidence: 99%

Autonomous recognition technology of carrier robot on various terrain environment

Dong

Song²,

Luan³

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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Field carrier robot can help people carry a certain amount of necessary materials in mountaineering, exploration and other fields, and even help field soldiers carry a certain amount of armaments. However, due to the complexity of the field environment, it is difficult for a robot with a single locomotion mechanism to complete such work. A carrier robot with leg/caterpillar/wheel is proposed. The robot can recognize different terrain environment, so as to select the appropriate locomotion mechanism, and can avoid obstacles and plan the path at the same time. We optimize the traditional ORB algorithm to extract the features of the environment image. The random forest classifier is used to classify the terrain, so as to start the corresponding locomotion mechanism. In addition, the extracted ORB feature points are also used for stereo matching to achieve the depth recovery for environmental information. Based on the analysis of two path planning algorithms of DWA and artificial potential field, an artificial potential field algorithm based on DWA is proposed for robot local path planning. In order to verify the effectiveness of these methods, experiments are carried out on the switching for three locomotion mechanisms and path planning in different practical environments. The results show that when the terrain changes, the robot can effectively switch the locomotion mechanism, and can run stably in different environments.

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Improved RANSAC features image‐matching method based on SURF

Cited by 28 publications

References 4 publications

[Retracted] Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching

[Retracted] Application of Improved Interactive Multimodel Algorithm in Player Trajectory Feature Matching

A fast RFID image matching algorithm for multi-tag identification and distribution optimization

Autonomous recognition technology of carrier robot on various terrain environment

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