Object recognition
Is ORB Efficient Over SURF for Object Recognition?
... Apart from appearance based models, learning of hierarchical visual dictionaries have also been deployed for object recognition. These methods operate by learning meaningful visual parts from various image ...
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Effect of Salient Features in Object Recognition
... With the SIFT and SURF based recognition, the paper presents the impact of salient features in object recognition. We use the two well-known image descriptors in the bag of words framework on five ...
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3D Convolutional Neural Network for Object Recognition
... Object Recognition is an important part of modern intelligent machines and ...character recognition for mail sorting service [1], traffic monitoring [2], surveillance for security purposes [3], ...
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Blinds Eye: Object Recognition for Blind People
... people. Object detection is a wide area of ...use object recognition tool for blind persons and give them audio/ vocal information about ...an object using the mobile camera and giving vocal ...
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Monocular 3d Object Recognition
... investigated object recognition under perspective projection using a construc- tive algorithm for objects that contain straight contours and planar ...for recognition tasks but the notion of sampling ...
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Biologically Inspired Methods of Object Recognition
... Object recognition is one of many tasks in which the computer is still behind the hu- ...on object recognition based on ex- tracting relevant information from images, ...for object ...
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OBJECT RECOGNITION IN THE ANIMATION SYSTEM
... the object recognition mechanism in the ANIMATION system – a system for animation scene and contents creation, retrieval and ...The object recognition mechanism in the ANIMATION system ...
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Object Recognition Using Bows Model
... • The BOW representation could be classed (category) independent which will reduce the amount of supervision required in the classification assignment [7]. BOW is said to be the promising model of the future applications ...
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Learning Image Components for Object Recognition
... In contrast when the dendritic inhibition neural network is trained on face images, it learns global representations. Figure 11a and Figure 11b show the results of training nndi and di, for 10000 iterations, on the 2429 ...
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Survey of Image Object Recognition Techniques
... some recognition technique or methods. Object recognition is one of the techniques of digital image processing where we can process any image by applying some of the ...efficient object ...
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The role of perceptual load in object recognition
... on object recognition would be found in a selective attention task in which there is no incentive to pay attention to the irrelevant ...distracter object recognition in a surprise ...
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ARM Controller Based Object Recognition
... like object classification, sorting, object counting and ...the object that is monitored has distinguishing features from the others, in terms of shape descriptors like extent, aspect ratio or ...
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Probabilistic, features-based object recognition
... the object parts being the cause of visual features, whose loca- tion and appearance is a random variable centered on a nominal location and ...Features-based object recognition methods based only on ...
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An Accumulative Framework for Object Recognition
... Object categorization involves identifying the objects present in a scene. There has been a lot of work done in this area based on the bags-of-features (BOF) method[12] which uses an orderless collection of ...
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Neural networks for object recognition
... objects. This problem is related to those of representing multiple and repeated pat- terns that were discussed earlier. It would seem reasonable therefore, to postulate the presence of some `storage' area for this ...
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AutoNet: Knowledge Graphs for Occasions Object Recognition
... Abstract. Object recognition in images fields is a novel and importance challenge in Computer ...occasions object recognition called AutoNet, which shows using this knowledge graphs improves ...
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Techniques for Object Recognition in Images and Multi Object Detection
... for object recognition in the framework of deformable shape ...unknown object (shape) and compares it to a model by solving the correspondence problem between the model and the ...
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Workshop on object recognition for input and mobile interaction
... of object recognition for input for mobile interaction to share approaches and ex- periences, identify research and deployment challenges, and envision the next generation of applications that rely on ...
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An Efficient Approach To Object Recognition For Mobile Robots
... the object recognition approaches developed so far have proved very valuable, but their high memory and processing requirements make them suitable only for robots with high processing capability or for ...
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Geological Object Recognition in Extraterrestrial Environments
... most of the parameters which might be used to describe an object can vary to an extraordi- nary degree. Objects with almost identical chemical makeups can vary widely in appearance. Likewise completely dissimilar ...
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