Search Results - (( java implication based algorithm ) OR ( model visualization matching algorithm ))
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1
An improved plant identification system by Fuzzy c-means bag of visual words model and sparse coding
Published 2020“…In the classic Bag of visual words model, the Fuzzy c-means algorithm is replaced with K-means and the accuracy of SIFT matching is increased. …”
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2
Converged Classification Network For Matching Cost Computation
Published 2020“…Stereoscopic vision lets us identify the world around us in 3D by incorporating data from depth signals into a clear visual model of the world. The stereo matching algorithm capable of producing the disparity or depth map in computer. …”
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3
OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
Published 2012“…The proposed model would capture a public signage image, compare the image in the database using template matching algorithm and convert to machine readable text in a text file. …”
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Conference or Workshop Item -
4
OCR Signage Recognition with Skew & Slant Correction For Visually Impaired People
Published 2011“…The proposed model would capture a public signage image, compare the image in the database using template matching algorithm and convert to machine readable text in a text file. …”
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5
Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs
Published 2017“…In the past, MOD was mainly tackled using image registration, which discovers correspondences between consecutive frames using pair-wise grayscale spatial visual appearance matching under rigid and affine transformations. …”
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6
Development of saliency metric for autonomous landmark selection in cognitive robot navigation / Gao Hanyang
Published 2022“…This dissertation proposes an algorithm to quantify urban landmarks based on visual salience indicators for cognitive robot navigation. …”
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7
The Development of Color Based Visual Search Utility
Published 2001“…Finally, a binary search algorithm was used to match and display images requested. …”
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8
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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9
Denoising of digital images using second generation wavelet transforms-hidden markov model
Published 2016“…After applying the denoising algorithm on the contaminated image, the cycling spinning algorithm is applied to increase the visual quality of the restored image. …”
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10
Anomaly detection for vision-based inspection
Published 2022“…Tests were conducted on the MVTec Anomaly Detection dataset, which is a dataset for benchmarking anomaly detection methods with a focus on industrial inspection. The algorithms that were used for the conventional approach are Template Matching, Structural Similarity Index, Scale Invariant Feature-Transform and Oriented FAST and Rotated BRIEF, whereas the deep learning models that were used for the modern approach are Patch Distribution Modelling (PaDiM) and PatchCore. …”
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Final Year Project / Dissertation / Thesis -
11
Preserving the topology of self-organizing maps for data analysis: A review
Published 2020“…Some issues related to SOM's architecture are also discussed, namely the formulation of training data from input samples, and the Best Matching Unit (BMU) identification for better visualization of large datasets, and improvement made to the SOM algorithm.…”
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12
Haze removal algorithm using improved restoration model based on dark channel prior / Dai Zhen
Published 2019“…Based on the atmospheric physical model, this research proposed a haze removal algorithm using improved restoration model based on dark channel prior, which has good robustness to the bright sky regions, and also has a good effect on the edges. …”
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13
Modelling of head movement in expression of disgust
Published 2010“…However, existing search algorithms did not discuss much on the looping technique of template matching. …”
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14
A framework for multiple moving objects detection in aerial videos
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Text to Image Generation Using Machine Learning
Published 2024“…Many of the existing algorithms in this field struggle to produce visuals that precisely match the given text. …”
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Artificial intelligence for rapid mapping of potential archaeological features using bag of visual words based image classifier
Published 2024“…Consequently, this study aims to explore feature detection and matching techniques in archaeological detection using Artificial Intelligence and Scale-Invariant Feature Transform and Oriented Fast and Rotated Brief algorithms, which are frequently employed in image processing applications as a feature descriptor within the Bag-of-Visual-Words framework. …”
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Proceeding Paper -
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Parallel batch self-organizing map on graphics processing unit using CUDA
Published 2018“…The most computationally expensive parts of its training algorithm (such as steps to compute distance between each data vector and neuron, and determining the Best Matching Unit based on minimum distance) are identified and mapped on GPU to be processed in parallel. …”
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Parallel batch self-organizing map on graphics processing unit using CUDA
Published 2018“…The most computationally expensive parts of its training algorithm (such as steps to compute distance between each data vector and neuron, and determining the Best Matching Unit based on minimum distance) are identified and mapped on GPU to be processed in parallel. …”
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20
Low-light image analysis and contrast enhancement using gaussian process / Loh Yuen Peng
Published 2018“…Additionally, novel information retrieval measurements are proposed to better evaluate the usefulness of enhancement algorithms in applications, namely the local features matching and l1-norm distance measure of intensity histogram. …”
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