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45 results for “Object Recognition”
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Research ArticleOpen accessPhrase in the title3D Object Recognition using Multiclass Support Vector Machine-K-Nearest Neighbor Supported by Local and Global FeatureC. Chandrasekar, R. MuralidharanProblem statement: In this study, a new method has been proposed for the recognition of 3D objects based on the various views of the object. The proposed method is evolved from the two promising methods available for object recognition. Approach: The proposed method uses both the local and global features extracted from the images. For feature extraction, Hu’s Moment invariant … …Journal of Computer Science, Vol. 8, Issue 8 · 4 Aug 2012 · 7,285 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleObject Recognition Based on Image Segmentation and ClusteringS. Thilagamani, N. ShanthiProblem statement: This study deals with object recognition based on image segmentation and clustering. Acquiring prior information of an image is done via two separate processes. Approach: The first process deals with detecting object parts of an image and integration of detected parts into several clusters. All these cluster centers form the visual words. The second process deals with over … …Journal of Computer Science, Vol. 7, Issue 11 · 6 Sep 2011 · 7,074 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeature Fusion in Improving Object Class RecognitionNoridayu Manshor, Amir Rizaan Abdul Rahiman, Mandava Rajeswari, Dhanesh RamachandramProblem statement: Extraction of features in object class recognition researches previously gives attention to local features as discriminative features. This is because local features have invariant properties that are robust to viewpoints, translation and rotation. However this feature still has a limitation to represent high-level representation of objects. The problem will occur if the object is too small and do … …Journal of Computer Science, Vol. 8, Issue 8 · 24 Jul 2012 · 6,907 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproving the Eastern Arabic Hand Written Digits Recognition Using Deep LearningHamdy Morsy, Hashim M. Hasanien et al.Convolutional neural networks CNNs or simply deep learning was designed for the challenging of object recognition such as digits, characters and even objects that can be classified. The deep convolutional networks are designed to be trained through using a large dataset of the classes. The degree of complexity of recognizing handwritten digits are different from person to person and even … …Journal of Computer Science, Vol. 21, Issue 6 · 27 May 2025 · 4,930 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRemoAct: Portable Projected Interface with Hand Gesture InteractionHussam Saad Adeen, Ayman Atia, Ahmad Amin et al.RemoAct is a wearable depth sensing and projection system that enables interaction on many surfaces. It makes interaction with the environment more intuitive through sharing and sending data with surrounding devices by applying certain gestures. This system offers a mobile and intuitive solution for interacting using a projected surface on habitual flat surfaces. Every user has their public and private … …Journal of Computer Science, Vol. 11, Issue 5 · 4 Aug 2015 · 8,146 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRadiation-Induced Cognitive Dysfunction After Different Schemes of Fractionated Whole Brain IrradiationZorkina Yana Alexandrovna, Zubkov Eugene Andreevich, Yusubalieva Gaukhar Maratovna et al.Radiation-induced cognitive dysfunction is a serious complication of radiation therapy. In humans, numerous cases of radiation damage have been recorded after irradiation for therapeutic purposes. The degree of cognitive dysfunctions and its dependence on biological effective doses should be tested in animal preclinical models to minimize radiation side effects. Fractionated whole brain irradiation was performed according to the following schemes: … …Neuroscience International, Vol. 5, Issue 2 · 14 Jan 2015 · 7,256 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSHAPE RETRIEVAL THROUGH MAHALANOBIS DISTANCE WITH SHORTEST AUGMENTING PATH ALGORITHMS. Muruganathan, N. Devarajan, D. Chitra, T. ManigandanShape matching and object recognition plays an vital role in the computer vision. The shape matching is difficult in case of the real world images like mpeg database images since the real world images has the internal and external contours. The Mahalanobis distance based shape context approach is proposed to measure similarity between shapes and exploit it for shape retrieval. … …Journal of Computer Science, Vol. 10, Issue 4 · 3 Dec 2013 · 6,856 accessesView PDFCite
Research ArticleOpen accessIn the keywordsShape Retrieval through Angular Distance with Shortest Augmenting Path AlgorithmD. Chitra, N. Devarajan, T. ManigandanProblem statement: The shape of an object is very important in object recognition. Shape matching is a challenging problem, especially when articulation and deformation of a part occurs. These variations may be insignificant for human recognition but often cause a matching algorithm to give results that are inconsistent with our perception. Approach: We proposed a customized approach to measure similarity … …Journal of Computer Science, Vol. 7, Issue 12 · 21 Oct 2011 · 6,817 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Morphological Method for Detection and Recognition of Vehicle License PlatesS.H. Mohades Kasaei, S.M. Mohades Kasaei, S. A. MonadjemiProblem statement: License plate detection and recognition is an image-processing technique used to identify a vehicle by its license plate. This notable technology has got multiple applications in various traffic and security cases. To name but a few, toll roads, border control, security and car tracking are same of its applications. The main stage is the isolation of the license … …American Journal of Applied Sciences, Vol. 6, Issue 12 · 31 Dec 2009 · 7,653 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIndoor Navigation and Localization for Visually impaired people Using Weighted Topological MapMd Jan Nordin, Abbas M. AliProblem Statement: Image base methods are a new approach for solving problems of navigations for visually impaired people. Approach: The study introduced a new approach of an electronic cane for blind people using the environment represented as a weighted topological graph instead, each node contains images taken at some poses in the work space, instead of building a metric (3D) … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 7,420 accessesView PDFCite