Feature points
A Visual Words Selection Strategy for Pedestrian Detection and Analysis of the Feature Points Distribution
... and feature points in TP, TN, FN, and FP image ...of feature points in the figure, and the black area indicates the ...FN), feature points are mainly located about the body, and ...
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Three-dimensional Face Recognition based on Feature Points Compression and Expansion
... As a method of realizing this technology, it is to implement an algorithm that inputs two-dimensional flat photograph, extracting a feature point, and then recognizes faces rotated in three-dimension using ...
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Research on Rapid Registration of Mass Point Clouds via Feature Points
... In the automatic registration of point clouds, ICP (Iterative Closest Point) is a widely used method, the basic idea is to focus on each point of the target in the reference point to find a nearest point, the ...
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Damaged Fingerprint Classification By Deep Learning With Fuzzy Feature Points
... Abstract —As the world enters the information age, the need for identity verification becomes more and more urgent. Therefore, fingerprint identification technology is widely used in the field of personal authentication. ...
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Research of Adaptive Definition Model of Frontier Map Based on Feature Points
... of feature points to establish an adaptive definition model of the fron- tier map based on the special purpose of the frontier map in order to specify and improve the frontier ...
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Retinal Verification Using a Feature Points-Based Biometric Pattern
... Based on the idea of fingerprint minutiae [4, 16], a robust pattern was first introduced in [17] where a set of landmarks (bifurcations and crossovers of retinal vessel tree) were extracted and used as feature ...
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An Arabic Baseline Estimation Method Based on Feature Points Extraction
... and feature extraction ...The points that connect the characters with the baseline are called the feature ...The feature points that are extracted from text as seen in ...
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Analogical Face Generation based on Feature Points
... the feature points when the front face is turned to the ...algorithm, feature points can be moved, or they cannot be used and can be ...the feature point of the face turned 30 degrees ...
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A Novel Coarse to fine Registration for 3D Point Cloud Based on Feature Points
... registration, including local depth, normal, curvature and point density. Most existing efforts focus on describing the local shape geometry from a single aspect using 2D or 1D representations, and therefore suffer from ...
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Recognition of human interactions using limb-level feature points
... the feature vector has been extracted the algorithm uses a k-Nearest Neighbor classifier to determine the ...extracted feature data and each feature vector is labeled as a single person activity, ...
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Improved CT algorithm based on target block division and feature points matching
... previous frame. When the target is occluded, the ex- tracted compressed feature of the target will undoubt- edly lead the samples to be incorrectly classified. In other words, if the classifier is updated on the ...
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Object detection from Background Scene Using t-SNE -ORB Gradient Boost
... The feature points are selected background color distribution may be multimodal, which could result in more than one color being included in the background ...
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A Steady Change From RFID To Facial Recognition
... facial feature needs to be regionalized to the location with the highest probability of containing the ...for feature extraction. These include detecting feature points, rotating to line up, ...
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Method for segmentation of overlapping fish images in aquaculture
... unreasonable points exist among the results of the algorithm. These points interfere with the extracted feature points, and thus, they need to be ...
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Biometric Approach to Encrypt a File with the Help of Session Key
... The feature points which we have used are relative for example, distance between eyeballs, distance between nostrils and distance between the end points of the ...these feature points ...
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A Novel Approach to Detect and Classify the Defective of Missing Rail Anchors in Real-time
... of feature points using Harris–Stephen and Shi–Tomasi feature detection algorithms and the extraction of the corresponding feature vectors containing M×N ...
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Exploring potential association between flow instability and rupture in patients with matched-pairs of ruptured–unruptured intracranial aneurysms
... differences are already visible at peak systole, which substantially turn to be pronounced during the deceleration phase. Cycle-to-cycle fluctuations are slightly observed in the ruptured aneurysm A2. However, we see no ...
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Tunnel Monitoring Method Based on 3D Laser Scanning Technology
... single points. This article extracts feature points with the cross-section position as datum, and analyzes the tunnel diameter convergence and displacement variation tendency of cross section overall ...
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An Innovative Tree Gradient Boosting Method Based Image Object Detection from a Uniform Background Scene
... The feature points extracted from ORB method are further processed to reduce the processing ...those points are selected which are triangularly farthest from centroid of it and only 1 point of ...
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Features Extraction from NIRS Data using Extreme Decomposition
... In the field of signal processing, the empirical mode decomposition (EMD) [7] - [10] has been recognized as the driving signal decomposition method of effective data, and has been widely applied to multiscale signal ...
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