Search Results - (( using stereo method algorithm ) OR ( using optimization method algorithm ))
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1
Evaluation of dynamic programming among the existing stereo matching algorithms
Published 2015“…The algorithm used on the dynamic programming is the global optimization which provides better process on stereo images like its accuracy and its computational efficiency compared to other existing stereo matching algorithms. …”
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2
Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…This thesis explains the development of new algorithm for distance measurement using stereo vision sensor. …”
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Thesis -
3
Disparity map algorithm using hierarchical of bitwise pixel differences and segment-tree from stereo image
Published 2024“…The algorithm development can be categorized into local, global, and semi-global methods. …”
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4
Disparity map algorithm for stereo matching process using local based method
Published 2022“…Global method performs a matching process using global energy or a probability function over the whole image. …”
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5
Stereo matching algorithm based on hybrid convolutional neural network and directional intensity difference
Published 2021“…It is also competitive with other published methods and can be used as a complete algorithm.…”
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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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A new function of stereo matching algorithm based on hybrid convolutional neural network
Published 2022“…This paper proposes a new hybrid method between the learning-based and handcrafted methods for a stereo matching algorithm. …”
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8
Local Stereo Matching Algorithm Using Small-Color Census Spared Adaptive Support Weight
Published 2011“…This work is still on process, to test the algorithm; it will use the Middlebury benchmark. According to analysis of each step of the algorithms, the proposed SCCADSW can achieve good performance among stereo methods that rely on local optimization…”
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Stereo Matching Based On Absolute Differences For Multiple Objects Detection
Published 2019“…This article presents a new algorithm for object detection using stereo camera system. …”
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Stereo matching algorithm using census transform and segment tree for depth estimation
Published 2023“…This article proposes an algorithm for stereo matching corresponding process that will be used in many applications such as augmented reality, autonomous vehicle navigation and surface reconstruction. …”
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11
SKF-based image template matching for distance measurement by using stereo vision
Published 2018“…The experiment is conducted with a set of images taken by using stereo vision system. Experimental results show the accuracy of the distance measurement by using stereo camera, after applying (1) the estimate error model, (2) SKF and (3) PSO algorithm are 89.95%, 96.09%, 95.29% and 58.51% respectively. …”
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12
Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…These benefits however are challenged by the high computational requirements of the algorithms used. In this thesis, a framework is developed to enable the use of stereo vision in realtime teleoperation of a manipulator robot for the task of writing. …”
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13
Optimizing lossless compression by normalized data length in Huffman Algorithm
Published 2022“…The proposed new algorithm has more optimal CR than the various variants of the Huffman-based lossless application. …”
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14
Identification of power poles based on satellite stereo images using graph-cut algorithm
Published 2023Conference Paper -
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Identification of power poles based on satellite stereo images using graph-cut algorithm
Published 2015“…The method is based on Graph-Cut algorithm which applied on satellite stereo images. …”
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Improvement Of Stereo Matching Algorithm Based On Sum Of Gradient Magnitude Differences And Semi-Global Method With Refinement Step
Published 2018“…A new stereo matching algorithm which uses improved matching cost computation and optimisation using the semi-global method (SGM) is proposed.The absolute difference is sensitive to low textured regions and high noise on the stereo images with radiometric distortions. …”
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Identification of power poles based on satellite stereo images using graph-cut algorithm
Published 2015“…The method is based on Graph-Cut algorithm which applied on satellite stereo images. …”
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Literature Survey On Stereo Vision Disparity Map Algorithms
Published 2016“…This literature survey also presents a method of qualitative measurement that is widely used by researchers in the area of stereo vision disparity mappings.…”
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19
Local Stereo Matching Algorithm Using Modified Dynamic Cost Computation
Published 2021“…This work improves the local method stereo matching algorithm based on the dynamic cost computation method for depth measurement. …”
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A Practical Method for Camera Calibration in Stereo Vision Mobile Robot Navigation
Published 2012“…The method is using Jean-Yves Bouguet tool which produces the intrinsic and extrinsic parameters of stereo pair. …”
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