2D object shape recognition
Scale Invariant Fractional Shape matching for computerized images
... as shape classification, retrieval, recognition, and ...partial shape matching of binary images ...and shape articulations and deformations, different 2D image projections of the ...
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Deep Shape Representations for 3D Object Recognition
... a 2D global shape descriptor, which can be used as an input to the deep neural ...deep shape descriptors which later on are used for shape retrieval and classifica- ...globally ...
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Car recognition on a static image using 2d basic shape geometry
... vision, object recognition is a technology which able to ease human activity to identify object obtained from digital ...identified object is car, and the recognition method is using ...
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OBJECT RECOGNITION AND SHAPE MATCHING USING NEURAL NETWORKS - A REVIEW
... character recognition system. Adaptive character recognition system created by neural networks is developed by Alexander ...demand, 2D image recognition is only part of the solution neural ...
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Object weight estimation from 2D images
... the object can be ...the 2D images to estimate the weight of the object in the ...as shape, color, size and ...the object. Then the volume of each object is calculated and using ...
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Shape Modeling and Analysis for Object Representation, Reconstruction, and Recognition
... dimensional shape modeling in scene analysis, would be more ...of shape from shading [35, 36, 66, 67, 97, 43, 96] and 3D photography [22, 30, 19, 31] in machine ...to 2D shape model- ing much ...
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Fusion Of Global Shape And Local Features Using Multi Classifier Framework For Object Class Recognition
... SIFT is a very good local feature for objects with different view, scale, image blur, light change and translation (Mikolajczyk and Schmid 2005). It was introduced by Lowe (1999) to solve the problem of ...
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An Invention Approach to 3D Face Recognition using Combination of 2D Texture Data and 3D Shape Data
... face recognition is Principal Component Analysis ...Eigen Object Recognizer class applies PCA on each image, the results of which will be an array of Eigen values that a Neural Network can be trained to ...
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Shape Representations for Object Recognition
... of shape functions, where each function repre- sents a property of a small set of points (pairs, triplets or four ...the object and thus we cannot parameterize directly the object ...the ...
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Object recognition using shape-from-shading
... from 2D intensity images using shape-from-shading can be used for 3D object ...the recognition of 3D objects from range ...Doorn shape index [15], can be used to recognize range ...the ...
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Geometric Unified Method in 3D Object Classification
... on 2D images? Answering this question, Su et ...to 2D. They tried to render 3D point cloud or shapes into 2D images and then applied 2D CNN to classify ...3D object recognition ...
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Prediction of Fruits and Flowers using Image Analysis Techniques
... ----------------------------------------------------------------------***--------------------------------------------------------------------- ABSTRACT - Digital image processing is a technique used for enhancement of ...
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2D face recognition techniques by
... In this paper, a PCA based algorithm is extended by additionally applying FCM for reducing the input sizes to fasten the detection and recognition processes. The system correctly recognized faces by 9.03 percent ...
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On Shape Description and Optimization for Object Classification
... in shape should often be limited to a set of a relatively small number of key ...a shape to a handful of its key point, commonly referred to as landmarks, with no/minimal loss of information is hence not ...
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A Comparative Analysis of the Zernike Moments for Single Object Retrieval
... the object shape and by using this value, the object is relocated to the center of the ...the object shape from the input ...a shape of an object without ...the ...
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Symmetry Shape Prior for Object Segmentation
... There are two steps in our approach. The first step is to detect the symmetry axis of the object as well as the region that contributes to this symmetry axis. Even though there is pre- vious work Loy, G. and ...
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The Detection and Quantification of Symmetry in 2D shape
... It is conceivable that p-type^^ energy fields are superior to the energy fields discussed so far and the need for a combination of energy fields is unwarranted. However, two side- effects severely limit its use. P-type ...
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IJCSMC, Vol. 3, Issue. 7, July 2014, pg.876 – 882 RESEARCH ARTICLE A THREE DIMENSIONAL MODAL TO PERFORM FACE AREA (ROI) IDENTIFICATION
... extraction, object extract or some hidden information associated with the image ...the object images depending on the ...the object or some are defined the object feature ...segmentation, ...
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Techniques for Object Recognition in Images and Multi Object Detection
... for object detection and object pose recognition for service robots is ...target object in the image; in the second stage, a bi-class detector corresponding to the detected orientation with ...
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2D-Shape Analysis Using Conformal Mapping
... ing to it n features, there will always be many distinct shapes on which all these features coincide. You can- not capture all the variability of a shape in a finite set of features. The second assertion means ...
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