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Showing 1 to 14 of 14 for “"Speeded-Up Robust Features"”.
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Towards a Visual Simultaneous Localization and Mapping System for Computationally Constrained Systems
… systems is presented. In this work, Binary Robust Invariant Scalable Keypoints (BRISK) and Oriented FAST and Rotated BRIEF (ORB) feature descriptors are introduced and compared against Speeded Up Robust Features (SURF). BRISK is shown to achieve similar relative pose estimation performance …
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A Comparative Study of Feature Detection Methods for AUV Localization
… a technique in which a map is created and updated while localizing the vehicle within the map. In SLAM, feature detection is used in landmark extraction and data association by examining each pixel and differentiating landmarks pixels from those of the background. Previous research on the …
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Homography-Based State Estimation for Autonomous Exploration in Unknown Environments
… state estimation algorithms are based on tracked Speeded-Up Robust Features (SURF) points and the homography relationship that relates the camera motion to the locations of tracked planar feature points in the image plane. An extended Kalman filter implementation is developed to perform sensor …
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A feature-based fingerprinting scheme robust to desynchronization
… schemes for image and video fingerprinting lack robustness against geometric attacks. We propose a novel semi-blind fingerprinting scheme that can cope with such attacks. The scheme improves a state-of-the-art high-rate fingerprinting code that can resist tens of colluders and Gaussian noise but …
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Organising and structuring a visual diary using visual interest point detectors
… similar backgrounds in images using their visual features. We present a number of approaches to setting detection based on the extraction of visual interest point detectors from the images. We also analyse the performance of two of the most popular descriptors - Scale Invariant Feature Transform …
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Investigating image processing algorithms for provision of information in rock art sites using mobile devices
… as Scale- Invariant Feature Transform (SIFT), Speeded-Up Robust Features (SURF) and Oriented Fast and Rotational Brief (ORB) have been incorporated in a mobile guide prototype and their performance has been evaluated. Performance evaluation has revealed that the ORB algorithm has a better and …
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Search-based Automatic Image Annotation Using Geotagged Community Photos
… image matching algorithm, known as Speeded Up Robust Features (SURF). To speed up the matching, we present a solution for reducing the number of compared SURF descriptors based on classification techniques, while the accuracy of SURF is improved through an efficient method for …
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Fast VMZ : code enhancements for video mosaicing and summarization
… Tensor (ST), Affine-Invariant SIFT (ASIFT), Speeded up robust features for its feature matching and homography estimation pipeline, which are the most computationally expensive modules in the VMZ pipeline. Due to these long-running compute-intensive modules, the VMZ pipeline is not suitable …
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Using regions of interest to track landmarks for RGBD simultaneous localisation and mapping
… time. The proposed algorithm extracts features from a region of interest (ROI) to track landmarks for RGBD SLAM. This strategy is compared to the traditional method of extracting features from an entire image. The ROI algorithm is implemented via a pre-processing algorithm, which is …
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Design and application of an automated system for camera photogrammetric calibration
… the Shape Invariant Feature Tracker (SIFT) and Speeded Up Robust Features (SURF) algorithms and shows the stitching to be accurate to within 0.3°. The noise sensitivity of the APCCS is assessed via the generation of synthetic light source centres and robot poses. The data is realistically …
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Registration and categorization of camera captured documents
… scale to large datasets using local invariant features. A novel methodology is proposed for the registration of user defined Regions Of Interest (ROI) using corresponding local features from their neighborhood. The methodology enhances prior approaches in point pattern based registration, like …
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An empirical assessment of real-time progressive stereo reconstruction
… algorithm for keypoint detection was found to be Speeded Up Robust Features (SURF) as it results in more reconstructed points than Scale-Invariant Feature Transform (SIFT). SIFT is however more computationally efficient and thus better suited if the number of reconstructed points does not matter, …
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A Machine Learning Approach for the Objective Sonographic Assessment of Patellar Tendinopathy in Collegiate Basketball Athletes
… assessing PT in GS-US images. ML models, like support vector machines (SVMs) and convolutional neural networks (CNNs), use features learned from labelled images, to predict the class of an unlabelled image. SVMs work by creating an optimal hyperplane between classes of labelled data points, and …