feature-based object recognition
OBJECT RECOGNITION USING GABOR FEATURE AND CLASSIFIER
... the object so that the required object can be ...an object in the image is represented by its center point or its contour, or a bounding box, or by a pixel-wise ...for object detection, sub ...
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Deep Multi level Feature Learning on Point Sets for 3D Object Recognition
... of feature learning for 3D object recognition in depth learning can be roughly divided into three methods which including Muti- view based [1,2], volumetric representation based [3,4] ...
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PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL
... and recognition is becoming one of the major research areas in computer ...more. Object detection is use to detect the main point of object in an ...Generally, object detection is divided into ...
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OBJECT RECOGNITION USING GABOR FEATURE AND CLASSIFIER
... of feature extraction ...face recognition. In this paper, we propose a general object recognition framework based on SVM and optimized Gabor ...
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SURFACE COMPUTING: A MULTIPOINT AND MULTI TOUCH TECHNOLOGY
... is based upon multi touch, multi user and tangible user interface ...key feature of Surface is object recognition and the ability of objects placed on the surface to trigger different types of ...
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An Effective Image Feature Selection and Mining Algorithm
... image feature data rules, and only show the simple linear structure of the data, it cannot show the nonlinear nature and ...a feature selection and mining algorithm through high step association analysis, ...
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Translating Images into Text Descriptions and Speech Synthesis for Learning Purpose
... user. Object wise generation of sentences, preposition and conjunction mapping is a challenging ...and object recognition in the framework of Canny ...pre-processing, feature extraction, ...
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Object Recognition based on Local Steering Kernel and SVM
... Wavelet Based Salient Point extraction seems to be the best approach ...in object recognition but the proposed method is based on the computation of the Local Steering Kernels as the ...
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STUDY OF SPI FRAMEWORK FOR CMMI CONTINUOUS MODEL BASED ON QFD
... and object dataset involves 10 different categories of ...for feature extraction purpose and large binary images of shapes has been collected by the LEMS Vision Group at Brown University, under Professor ...
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Vol 7, No 10 (2017)
... problems based on feature matching including object recognition, pose estimation, image retrieval and many ...model object image into several sub-collections before they are ...the ...
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DRLTP Based Object Recognition for Image Retrieval Systems
... robust object recognition using edge and texture feature ...category recognition system will be developed for application to image ...category recognition is to classify an ...
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A Review on Fuzzy Logic Based Object Recognition Techniques
... text recognition, which aims to recognize text in natural scenes, remains a challenging ...the recognition task. Scene Text Recognition: Scene text recognition is an important research problem ...
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Approaches for Automated Object Recognition and Extraction from Images — a Study
... the object, they employ off-line and on-line machine learning ...the feature based on which the actions from IPL are ...cisions based on frequently incomplete infor- mation provided by ...
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Ship Detection Framework Based on Deep Learning Network
... high. Based on the assumption that candidate frame extraction can be performed on the feature map, Shaoqing Ren et ...the object classification and the frame regression by sliding the window on the ...
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Automatic Object Recognition from Satellite Images using Artificial Neural Network
... rule based algorithm ...currency recognition, the diagnosis of low back pain and sciatica, heart disease and cancer, stock market prediction, prediction of daily global solar radiation, handwritten ...
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Probabilistic, features-based object recognition
... visual recognition system, that, given a target image, is able to find all other images of that individual within a typical photo collection or web ...a feature vector composed of extracted patches around ...
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DM L Based Feature Extraction and Classifier Ensemble for Object Recognition
... of object recognition in [4] and they have shown that CNNs performed the best compared to other object recog- nition ...Visual Recognition Challenge ...image recognition and ...
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A Spiking Neuron Based Feature Model for Real Time Object Recognition
... neuron based PCA approach to perform the real time pattern detection over the ...the feature detection. This spiking neuron process is based on the centroid based analysis over the gesture ...
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Feature based 3D Object Recognition using Artificial Neural Networks
... 3D object recognition techniques are well known in the literature ...purposes. Feature extraction algorithms are used to select the best set of features which can uniquely distinguish the ...
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Feature extraction: Face detection techniques and 3D object recognition based on local feature extraction
... The process of partitioning an image into various segments is called segmentation. There are various methods available for segmentation based on colour. Precise segmentation of the image is the most important step ...
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