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1
Literature Survey On Stereo Vision Disparity Map Algorithms
Published 2016“…To assist future researchers in developing their own stereo matching algorithms, a summary of the existing algorithms developed for every stage of processing is also provided. …”
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2
Mapreduce algorithm for weather dataset
Published 2017“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. …”
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Thesis -
3
MapReduce algorithm for weather dataset
Published 2018“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. …”
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Research Report -
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Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction
Published 2019“…In computer vision field, one of most active topics in research is estimation of depth map which is Stereo Matching (SM) process and it’s also known as Stereo Vision Disparity Map (SVDM). …”
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Disparity map algorithm for stereo matching process using local based method
Published 2022“…The aim of Stereo Vision Disparity Map (SVDM) algorithm is to obtain the disparity map from two images. …”
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Thesis -
6
Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images
Published 2018“…Disparity depth map estimation of stereo matching algorithm is one of the most active research topics in computer vision.In the field of image processing,many existing stereo matching algorithms to obtain disparity depth map are developed and designed with low accuracy.To improve the accuracy of disparity depth map is quite challenging and difficult especially with uncontrolled dynamic environment.The accuracy is affected by many unwanted aspects including random noises,horizontal streaks,low texture,depth map non-edge preserving, occlusion,and depth discontinuities.Thus,this research proposed a new robust method of hybrid stereo matching algorithm with significant accuracy of computation.The thesis will present in detail the development,design, and analysis of performance on Multistage Hybrid Median Filter (MHMF).There are two main parts involved in our developed method which combined in two main stages.Stage 1 consists of the Sum of Absolute Differences (SAD) from Basic Block Matching (BBM) algorithm and the part of Scanline Optimization (SO) from Dynamic Programming (DP) algorithm.While,Stage 2 is the main core of our MHMF as a post-processing step which included segmentation,merging, and hybrid median filtering.The significant feature of the post-processing step is on its ability to handle efficiently the unwanted aspects obtained from the raw disparity depth map on the step of optimization.In order to remove and overcome the challenges unwanted aspects, the proposed MHMF has three stages of filtering process along with the developed approaches in Stage 2 of MHMF algorithm.There are two categories of evaluation performed on the obtained disparity depth map: subjective evaluation and objective evaluation.The objective evaluation involves the evaluation on Middlebury Stereo Vision system and evaluation using traditional methods such as Mean Square Errors (MSE),Peak to Signal Noise Ratio (PSNR) and Structural Similarity Index Metric (SSIM).Based on the results of the standard benchmarking datasets from Middlebury,the proposed algorithm is able to reduce errors of non-occluded and all errors respectively.While,the subjective evaluation is done for datasets captured from MV BLUE FOX camera using human's eyes perception.Based on the results,the proposed MHMF is able to obtain accurate results, specifically 69% and 71% of non-occluded and all errors for disparity depth map, and it outperformed some of the existing methods in the literature such as BBM and DP algorithms.…”
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7
Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster labelling process, a cluster labelling algorithm based on calculation of minimum-distance (MD) between cluster mean and class mean was developed to label the clusters. …”
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8
Stereolithography 3D printing development of 3D printing machine controller using the predefined closest-distance volume interpolator system
Published 2019“…The algorithm composes of multiple algorithms such as slicing algorithm, pixel line mapping algorithm, and the contour loop algorithm. …”
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Research Report -
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Selective chaotic maps Tiki-Taka algorithm for the S-box generation and optimization
Published 2021“…Unlike competing works (which typically integrates a single chaotic map into a particular metaheuristic algorithm), SCMTTA assembles five chaotic maps (i.e., tent map, logistic map, Chebyshev map, singer map and sine map) as part of the algorithm itself in order to further enhance ergodicity and unpredictability of the generated solution. …”
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Article -
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…The satellite-based vehicle tracking systems accuracy can be improved by augmenting the positional information using road network data, in a process known as map-matching. Map-matching algorithms attempt to estimate vehicle route and location in a particular road map (or any restricting track such as rails, etc), in spite of the digital map errors and GPS inaccuracies. …”
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Development Of Double Stage Filter (DSF) On Stereo Matching Algorithm For 3D Computer Vision Applications
Published 2016“…In order to remove the unwanted aspects, two stages filtering process are needed along with the developed approaches in the phase 2 of DSF algorithm. …”
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The development of virtual product life cycle design tool using artificial intelligence technique
Published 2008“…The mapping algorithm focuses on the dimension of the machine for the milling process which is the length offset, corner radius and depth. …”
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Monograph -
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A Map-matching Algorithm to Improve Vehicle Tracking Systems Accuracy
Published 2008“…The satellite-based vehicle tracking systems accuracy can be improved by augmenting the positional information using road network data, in a process known as map-niatcliing. Map-matching algorithms attempt to estimate vehicle route and location in it particular road map (or any restricting track such as rails, etc), in spite of the digital map errors and GPS inaccuracies. …”
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Final Year Project -
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Chaotic map initializations with Tiki-Taka algorithm for software remodularization problem
Published 2021“…Addressing this issue, this paper evaluates the performance of automated software remodularization using the newly developed Tiki-Taka Algorithm (TTA) and its variants with four chaotic map initializations based on Chebyshev map, Circle map, Logistic Map and Piecewise Map. …”
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Conference or Workshop Item -
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Contour generation for mask projection stereolithography 3D printing
Published 2019“…The algorithm composes of multiple algorithms such as slicing algorithm, pixel line mapping algorithm, and the contour loop algorithm. …”
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Route Optimization System
Published 2005“…Using that process, we have settled on Java as our development platform as we found it able to both implement DA and the GIS component (map display and manipulation). …”
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Final Year Project -
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Review on RS technologies for seagrass mapping in tropical region
Published 2022“…A clear conclusion from this review is that the development in sensor technology and data processing algorithm is still ongoing and has driven RS capabilities to map seagrass more rapidly, accurately and less expensive. …”
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Article -
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Disparity map algorithm using hierarchical of bitwise pixel differences and segment-tree from stereo image
Published 2024“…In computer vision technology, stereo matching algorithm plays an important role in generating disparity map or depth map through a correspondence process from stereo images. …”
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Thesis -
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