Invariant Feature
Automated identification of Lauraceae by scale-invariant feature transform
... Scale-invariant feature transform (SIFT) is one of the useful algorithms to detect the local features from an ...are invariant to scale and rotation, and are robust to the changes in the illumination ...
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A Robust Invariant Feature Descriptor for Human Action Recognition
... Abstract—The dramatic progressions of studies in human action recognition are being attributed to inherent challenges of initial methods such as bag-of-words. As a result, researchers in the field of computer vision are ...
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IDENTIFICATION OF REAL TIME HAND GESTURE USING SCALE INVARIANT FEATURE TRANSFORM
... Abstract: This paper presents a vision based system that provides a feasible solution to Indian sign Language(ISL) and American Sign Language (ASL) identification of hand gestures of alphabet. The proposed system is ...
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View invariant feature selector and its application on gait recognition
... layers and 2 full connected layers, and used it for large-scale gait recognition on OU-ISIR Large Population Dataset [97]. Their network has great advantage over other approaches on the large-scale dataset, while the ...
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Scale-invariant feature transform based Lesion Detection on CT Lung Images
... for feature extraction purpose while NN and SVM are utilized for training, testing and classification and also compare the results of both simultaneously for enhancing and getting better result from earlier in ...
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Domain Invariant Feature Distillation for Cross Domain Sentiment Classification
... polarity labels in the target domain, which is more consistent with the practical settings. Specifically, we focus on the aspect-level cross-domain senti- ment classification, and train a shared sentiment classifier and ...
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Scale Invariant Feature Transformed Based Vehicle Detection: A Review
... features, with the requirements that these features facilitate orientation invariant matching and have an associated orientation measure. Once a vehicle is verified, the movement of the vehicle in the subsequent ...
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PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL
... Scale Invariant Feature Transform (SIFT), Speeded-Up Feature Transform (SuRF), Center Surrounded External (CenSurE), Good Features To Track (GFTT), Maximally-Stable External Region Extractor (MSER), ...
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SOLVING ECONOMIC DISPATCH PROBLEM USING PARTICLE SWARM OPTIMIZATION BY AN EVOLUTIONARY TECHNIQUE FOR INITIALIZING PARTICLES
... This paper proposed a method using SVR and scale-invariant feature transform(SIFT). By the trained SVR model, watermark information is embedded into the wavelet domain of the carrier image. This method ...
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Analytical Analysis on Signature Recognition and Verification
... Nilesh Y. Choudhary,Mrs. Rupal Patil, Dr. Umesh. Bhadade, Prof. Bhupendra M Chaudhari, proposed a scheme for off-line signature recognition & verification using back propagation neural network ,where the signature ...
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Similarity measure for image resizing using SIFT feature
... Scale Invariant Feature Transform (SIFT) feature, and present an algorithm, combining Seam Carving with Scaling, which could be used to protect the prominent and important object ...SIFT ...
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Feature Extraction using SIFT for Privacy Preserving Over Encrypted Image
... (Scale Invariant Feature Transform) algorithm over the ...the feature extraction is done by using ...Encryption, Feature Selection, Secure Data ...
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Palmprint Identification System Based on Local and Texture Features using KNN Classifier
... the feature that can discriminate an individual from the ...on feature extracted from palmprint images by Scale Invariant Feature Transform (SIFT) and Gray Level Cooccurrence Matrix ...a ...
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A Review on Image Based Person And Object Recognition using SIFT and HMM
... scale invariant feature transform (SIFT). Feature vectors are developed from the extracted ...These feature vectors are compared using Hidden Markov Model with the data set developed to ...
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AN EFFICIENT AND FAST SUPER RESOLUTION RECONSTRUCTION ALGORITHM
... Scale invariant feature transform method, SIFT feature points are identified on the ...SIFT feature point of all the images in the test database using the same method happens in ...matching ...
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Intelligent Detection Of High Grade Brain Tumor With Moment Invariant Features And Adaptive Clustering
... moment invariant feature extraction and automatic ...moment invariant features are used to describe the certain shape parameter relevant to the tumor region and dead cells are measured by the seven ...
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Feature-Level Fusion of Speech, Signature and Tongue using ordered weighted average using GA
... (Scale invariant feature transform) algorithm is a feature vector generation algorithm which takes an image as input and generates a large collection of local feature vectors ...
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Personal Authentication Using the Combination of Left and Right Palmprint Images
... the feature representation (SIFT and OLOF) and different database (Poly U and ...Scale Invariant Feature Transform (SIFT) and Orthogonal Line Ordinal Features, perform significantly better for the ...
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Video Annotation and Retrieval System using SIFT and HOG Features
... SIFT feature we can do effective retrieval of ...Scale Invariant Feature Transform (SIFT) and are used to find the key points from the images because they are invariant to ...
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A multimodal biometric system using global features for identical twins identification
... multi-biometric identification. Thus, this study has chosen the use of MAE function. Each twin of a pair has distinct features or characteristic with respect to their handwriting-fingerprint. The MAE function is used to ...
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