Search Results - (( using stereo method algorithm ) OR ( simulation optimization method algorithm ))

Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system by Nurnajmin Qasrina Ann, Ayop Azmi

“…This thesis explains the development of new algorithm for distance measurement using stereo vision sensor. …”
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SKF-based image template matching for distance measurement by using stereo vision by Nurnajmin Qasrina, Ann, Pebrianti, Dwi, Bayuaji, Luhur, Mohd Razali, Daud, Rosdiyana, Samad, Zuwairie, Ibrahim, Rosyati, Hamid, Mohammad, Syafrullah

“…Therefore, image matching problem can be considered to optimization problem and can be solved precisely. The search of the image template has been performed exhaustively by using Simulated Kalman Filter (SKF) algorithm. …”
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Identification of power poles based on satellite stereo images using graph-cut algorithm by Qayyum A., Malik A.S., Saad M.N.M., Ahmad R.F., Abdullah A.R.T.

Evaluation of dynamic programming among the existing stereo matching algorithms by Teo, Chee Huat, Nurulfajar, Abd Manap

“…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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Identification of power poles based on satellite stereo images using graph-cut algorithm by Qayyum, Abdul, Malik, Aamir Saeed, Mohamad Saad, Mohamad Naufal, Ahmad, Rana Fayyaz, Taun Abdullah, Taun Ab Rashid

“…The method is based on Graph-Cut algorithm which applied on satellite stereo images. …”
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Disparity map algorithm using hierarchical of bitwise pixel differences and segment-tree from stereo image by Zainal Azali, Muhammad Nazmi

“…The algorithm development can be categorized into local, global, and semi-global methods. …”
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Improvement Of Stereo Matching Algorithm Based On Sum Of Gradient Magnitude Differences And Semi-Global Method With Refinement Step by Hamzah, Rostam Affendi, Ibrahim, Haidi

“…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 by Qayyum, A., Malik, A.S., Saad, M.N.M., Ahmad, R.F., Abdullah, A.R.T.

“…The method is based on Graph-Cut algorithm which applied on satellite stereo images. …”
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Stereo matching algorithm based on hybrid convolutional neural network and directional intensity difference by Hamid, Mohd Saad, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Kadmin, Ahmad Fauzan

“…It is also competitive with other published methods and can be used as a complete algorithm.…”
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Disparity map algorithm for stereo matching process using local based method by Gan, Melvin Yeou Wei

“…The aim of Stereo Vision Disparity Map (SVDM) algorithm is to obtain the disparity map from two images. …”
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Literature Survey On Stereo Vision Disparity Map Algorithms by Rostam Affendi, Hamzah, Haidi, Ibrahim

“…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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Local Stereo Matching Algorithm Using Modified Dynamic Cost Computation by Kadmin, Ahmad Fauzan, Hamzah, Rostam Affendi, Abd Manap, Nurulfajar, Hamid, Mohd Saad, Tg. Wook, Tg Mohd Faizal

“…This work improves the local method stereo matching algorithm based on the dynamic cost computation method for depth measurement. …”
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Enhanced Image View Synthesis Using Multistage Hybrid Median Filter For Stereo Images by Ali Hussein Aboali, Maged Yahya

“…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 Practical Method for Camera Calibration in Stereo Vision Mobile Robot Navigation by Hamzah, Rostam Affendi, Abd Ghani, SHAMSUL FAKHAR, Kadmin, AHMAD FAUZAN, A Aziz, Khairul Azha

“…The method is using Jean-Yves Bouguet tool which produces the intrinsic and extrinsic parameters of stereo pair. …”
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Development Of Stereo-Matching Algorithm Based On Adaptive Weighted Prediction by Abd Razak, Siti Safwana

“…The experimental result on the proposed algorithm is able to reduce 17.4% of weighted average error for all and 9.62% of weighted average error for nonocc (nonoccluded) compared to others Stereo Matching Algorithm without the proposed framework. …”
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Stereo matching algorithm for autonomous vehicle navigation using integrated matching cost and non-local aggregation by Zahari, Madiha, Hamzah, Rostam Affendi, Abd Manap, Nurulfajar, Herman, Adi Irwan

“…The results show that the accuracy of the disparity map is improved using the proposed methods after some parameter adjustment. …”
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Improved stereo matching algorithm based on census transform and dynamic histogram cost computation by Kadmin, Ahmad Fauzan, Hamzah, Rostam Affendi, Abd Manap, Nurulfajar, Hamid, Mohd Saad, Abd Gani, Shamsul Fakhar

“…Stereo matching is a significant subject in the stereo vision algorithm. …”
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A new function of stereo matching algorithm based on hybrid convolutional neural network by Hamid, Mohd Saad, Kadmin, Ahmad Fauzan, Abd Manap, Nurulfajar, Hamzah, Rostam Affendi, Abd Gani, Shamsul Fakhar, Herman, Adi Irwan

“…This paper proposes a new hybrid method between the learning-based and handcrafted methods for a stereo matching algorithm. …”
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Disparity Refinement Based on Depth Image Layers Separation for Stereo Matching Algorithms by Abd Manap, Nurulfajar, Soraghan, John J.

“…This paper presents a method to improve the raw disparity maps in the disparity refinement stage for stereo matching algorithm. …”
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Efficient 3D stereo vision stabilization for multi-camera viewpoints by Bhuiyan, Sharif Shah Newaj, Khalifa, Othman Omran

“…In this paper, an algorithm is developed in 3D Stereo vision to improve image stabilization process for multi-camera viewpoints. …”
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