Improved RANSAC features image-matching method based on SURF
Jinliang Liu,FanLiang Bu +1 more
TLDR
Experimental results show that the improved RANSAC algorithm has high matching accuracy, good robustness, and short running time, which lays the foundation for the subsequent fast image stitching.Abstract:
For the speed of traditional SIFT algorithm in the feature extraction and matching is slow, the article proposes an improved RANSAC features image matching method based on speeded up robust features (SURF). First of all, detect images features and extract with SURF method, use the fast library for approximate nearest neighbours-based matcher method to perform initial matching on image feature points. Improve the RANSAC algorithm to increase the probability of correct matching points being sampled. Experimental results show that the improved RANSAC algorithm has high matching accuracy, good robustness, and short running time. It lays the foundation for the subsequent fast image stitching.read more
Citations
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Automatic image positioning of a rail train number using speed-up robust features and stroke width transform
TL;DR: An automatic image positioning framework for rail train numbers is developed, aiming at the problem of low contrast between the rail train number and vehicle body caused by insufficient illumination of the train train in a tunnel and indoor.
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A Descriptor-Based Advanced Feature Detector for Improved Visual Tracking
Kai Yit Kok,Parvathy Rajendran +1 more
TL;DR: A performance comparison is made among SRF with SRF, Speeded-up Robust Features (SURF) with SURF, Maximally Stable Extremal Regions (MSER) with Surf, Harris with Fast Retina Keypoint (FREAK), Minimum Eigenvalue with FREAK, Features from Accelerated Segment Test (FAST) with FREak, and Binary Robust Invariant Scalable Keypoints (BRISK) with freak.
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Autonomous recognition technology of carrier robot on various terrain environment
TL;DR: An artificial potential field algorithm based on DWA is proposed for robot local path planning and shows that when the terrain changes, the robot can effectively switch the locomotion mechanism, and can run stably in different environments.
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Retinal OCT Image Registration: Methods and Applications
TL;DR: Wang et al. as mentioned in this paper reviewed volumetric transformation-based and image features-based registration methods for retinal image registration and their applications in correcting scanning artifacts, reducing speckle noise, fusing and splicing images and evaluating longitudinal disease progression.
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Unified approach for detecting traffic signs and potholes on Indian roads
TL;DR: In this article , a unified model for recognizing the traffic signs and potholes on Indian roads is developed, where the optimum features related to road traffic signs are extracted and matched using the Hybrid Features From Accelerated Segment Test and Random Sample Consensus algorithms.
References
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Proceedings Article
Recognising Panoramas
Matthew Brown,David G. Lowe +1 more
TL;DR: Object recognition techniques based on invariant local features to select matching images, and a probabilistic model for verification are used, which is insensitive to the ordering, orientation, scale and illumination of the images.
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Journal Article
FAST Feature Detection Algorithm Based on Self-adaptive Threshold Selection
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