Search Results - (( developing views matching algorithm ) OR ( java implication based algorithm ))
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A Pixel Matching Process And Multiples Roi For Stereo Images In Stereo Vision Application
Published 2011“…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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A Pixel to Pixel Correspondence and Region of Interest in Stereo Vision Application
Published 2012“…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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Mobile cookbook application with searching by ingredients / Falihah Mamat @ Mohammad
Published 2015“…Frustrating things when preparing a meal is forgetting the key ingredients.Through this project, a cookbook mobile application will be developed using agile framework. The searching techniques that will be used is sequential search algorithm for searching recipe by name and for searching by ingredients, the set algorithm will be used which is intersection algorithm to solved the problem. …”
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An Analysis Of Multiple Size Region Of Interest In Disparity Mapping For Stereo Vision Application
Published 2011“…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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Cars detection in stitched image using morphological approach
Published 2017“…The performance of the proposed cars detection algorithm could detect the cars fairly accurate. In addition, this project could be a solution to detect trapped cars in a flood to provide useful information to the rescue department where the image sequences of the flood scene could be stitched together to get a wider view of the flood without zooming the view of the scene to get the whole view of the flood. …”
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Final Year Project Report / IMRAD -
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AUTONOMOUS MOBILE ROBOT VISION BASED SYSTEM: HUMAN DETECTION BY COLOR
Published 2013“…If the human is not in the center of the camera view, then corrective measures is taken so that the human will be in the center of the camera view. …”
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Real Time Tracking and Face Recognition Using Web Camera
Published 2005“…A tracking system is developed to work together with the face recognition algorithm. …”
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A Study Of Edge Preserving Filters In Image Matching
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Plant identification using combination of fuzzy c-means spatial pyramid matching, gist, multi-texton histogram and multiview dictionary learning
Published 2016“…Moreover, instead of concatenating feature vectors together and send to classifier, sparse coding and dictionary learning methods are used and instead of considering all features as one view (visual feature), K-SVD algorithm that is one of the famous algorithms for sparse representation is optimized and developed to multi-view model.The experimental results prove that the proposed methods has improved accuracy by 53.77% compared to concatenating features and classic K-SVD dictionary learning model as well.…”
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3D object recognition: Views, moment invariants & perceptron networks
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