speeded-up robust features (SURF)
Offline Language-free Writer Identification based on Speeded-up Robust Features
... SURF Speeded-up Robust Features (SURF), was presented by Herbert [26] for a novel scale and rotation-invariant ...the speeded-up computation of approximate Laplacian of Gaussian ...
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Human Detection Using Maximally Stable Extermal Region And Speeded-Up Robust Features From Images
... the features extracted from the images play an important ...and Speeded-Up Robust Features (SURF) descriptor to improve the classification ...accuracy. Features are classified ...
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Performance Comparison Of Out-Of-Plane Facial Detection Using Speeded Up Robust Features (SURF) And Scale Invariant Feature Transform (SIFT)
... Using Speeded up Robust Features (SURF) and Scale Invariant Feature Transform (SIFT)” and found that it has comply the partial fulfillment for awarding the degree of Bachelor of Electrical ...
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The Indian Banknote Recognition Using Speeded Up Robust Features (SURF)
... is robust and effective with the following features: 1) high accuracy, 2) robustness, 3) high efficiency, and 4) ease of ...system robust to avariety of conditions including image of any angle, ...
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Training-Free Object Matching and Retrieval Using Speeded Up Robust Features
... on Speeded Up Robust Features (SURF) points acquired from the ...is robust under partial occlusion and ...speeds up recovery and reduces the storage ...
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Currency Note Recognition using Speeded Up Robust Features for the Blind
... ABSTRACT: Visually impaired people face difficulty to know the value of the currency they are holding, as of the banknotes are approximately identical in size. We develop a camera-based system to recognize banknotes to ...
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SURF: Speeded Up Robust Features
... When working with local features, a first issue that needs to be settled is the required level of invariance. Clearly, this depends on the expected geomet- ric and photometric deformations, which in turn are ...
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Image Forgery Detection by Speeded Up Robust Features with Integrated Techniques
... color features into the feature blocks to generate the merged regions; finally, it applies the morphological operation to the merged regions to generate the detected forgery ...
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Implementation of Speeded Up Robust Feature Algorithm for Real Time Logo Detection
... Logo detection is presented on new class of likenesses to a setting subordinate. Logo detection and coordinating is of indispensable use in this day and age to recognize non approved utilization of logos. Logo detection ...
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IMPLEMENTATION OF SPEED UP ROBUST FEATURE FOR DETECTION AND TRACKING OF INANIMATE OBJECTS
... using Speeded-Up Robust Features (SURF). SURF features can extract distinctive invariant features that can be utilized to perform reliable matching between different images in ...
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Object tracking from unmanned aerial vehicle using Kanade-Lucas-Tomasi tracker and speeded up robust features
... Object detection and tracking are important and challenging tasks in many computer vision applications such as surveillance, vehicle navigation, and autonomous robot[r] ...
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IJCSMC, Vol. 7, Issue. 6, June 2018, pg.49 – 58 AN EFFICIENT WAY FOR SHAPE RECOGNITION BY USING SPEEDED-UP ROBUST FEATURE (SURF)
... Abstract: In this paper, we present a novel scale- and rotation-invariant interest point detector and descriptor, coined CONTOUR SURF (Speeded Up Robust Features). It approximates or even ...
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Texture based features for robust palmprint recognition: a comparative study
... of features obtained from Bank of Binarized Statistical Image Features ...of features including principal lines, ridges, and ...for robust palmprint ...
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Features and Model Adaptation Techniques for Robust Speech Recognition: A Review
... The speech recognition is a pattern recognition task and Artificial Neural Network (ANN) is a good classifier. However, Artificial Neural Networks are not very good at handling dynamic data and speech signal is dynamic ...
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A Robust Image Retrieval Algorithm by Utilizing Encrypted Visual and Textual Features
... increasing day by day. So digital data of those users are also increasing, now this increase of data has attracted many researchers. Searching the relevant images from the collection of dataset is an important issue. In ...
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Appraising the role of visual threat in speeded detection and classification tasks
... complex speeded search tasks are exquisitely sensitive to a range of stimulus factors that may or may not be under experimental control ...of speeded visual search tasks that have been developed using very ...
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ROBUST WATERMARKING OF COLOR IMAGES USING RST INVARIENT FEATURES
... value to be embedded in the image so as to provide blind watermarking. It is evident from table 3.1 that Hu's invariant moments changes significantly under cropping operations. In view of the watermarking technique ...
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A Robust Visual Tracking Method through Deep Learning Features
... Abstract. Object tracking is one of the most important components in many applications of computer vision. Among numerous methods developed in recent years, correlation filter based trackers have aroused increasing ...
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Robust Image Hashing Based on Local Features for Image Authentication
... Recently, more and more images videos or audios are processed by different tools for different purposes. So it is difficult for users to differentiate the authentic media from the counterfeits. Image hashing is one of ...
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A Robust Environmental Sound Recognition System using Frequency Domain Features
... many features that can be used, or are needed, to describe audio ...these features is crucial in building a robust recognition ...audio features are used in this project from frequency- domain ...
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