Improvement of disparity map refinement stage using adaptive least square plane fitting technique

Hamzah, Rostam Affendi; Ibrahim, Haidi

doi:10.1049/el.2020.1067

Cited by 3 publications

(2 citation statements)

References 9 publications

(12 reference statements)

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“…Firstly, this paper improves the traditional census transformation algorithm in the local algorithm, calculates the initial generation value, and introduces the SGM algorithm based on the unidirectional dynamic programming theory for cost aggregation optimization. en, the WTA (winner-take-all) algorithm [14] is selected to calculate the parallax value corresponding to the minimum aggregate generation value to obtain the initial parallax map. Finally, the initial disparity map is further optimized to obtain a high-quality disparity map.…”

Section: Algorithm Principlementioning

confidence: 99%

Using Enhanced Reordered Census Transform for Semiglobal Stereo Matching Algorithm

Lian

Bao

et al. 2022

Mobile Information Systems

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We present a semiglobal stereo matching technique that combines enhanced census transform with unidirectional dynamic programming optimization. This method not only improves matching accuracy but also substantially reduces noise interference by using the 8-domain pixel median instead of the centre pixel in the standard technique and optimizing the initial matching generation value with the 8-path aggregation optimization algorithm. The experimental findings show that this suggested strategy efficiently avoids interference produced by various noises and reduces the false matching rate significantly.

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Section: Algorithm Principlementioning

confidence: 99%

Using Enhanced Reordered Census Transform for Semiglobal Stereo Matching Algorithm

Lian

Bao

et al. 2022

Mobile Information Systems

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“…The earliest fundamental in the stereo matching algorithm design is the matching cost, which obtains the value of disparity map. [7] proposed essential matching cost absolute difference (AD) cost initialization for real-time high-quality system. The advanced AD formula sum of absolute differences (SAD) used by [8] to calculate for each pixel based on the disparity under consideration while zero-mean SSD (ZSSD) used by [9] which eliminates each patch of average intensity and used for the comparison between mean intensity of independent and each pixels.. Another familiar matching cost computation formula used is Normalized Cross Correlation (NCC) technique for generating matching costs.…”

Section: Related Workmentioning

confidence: 99%

mproved Stereo Matching Algorithm based on Census Transform and Dynamic Histogram Cost Computation

Kadmin¹,

Hamzah²,

Manap³

et al. 2021

IJETAE

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Stereo matching is a significant subject in the stereo vision algorithm. Traditional taxonomy composition consists of several issues in the stereo correspondences process such as radiometric distortion, discontinuity, and low accuracy at the low texture regions. This new taxonomy improves the local method of stereo matching algorithm based on the dynamic cost computation for disparity map measurement. This method utilised modified dynamic cost computation in the matching cost stage. A modified Census Transform with dynamic histogram is used to provide the cost volume. An adaptive bilateral filtering is applied to retain the image depth and edge information in the cost aggregation stage. A Winner Takes All (WTA) optimisation is applied in the disparity selection and a left-right check with an adaptive bilateral median filtering are employed for final refinement. Based on the dataset of standard Middlebury, the taxonomy has better accuracy and outperformed several other state-ofthe-art algorithms. Keywords—Stereo matching, disparity map, dynamic cost, census transform, local method

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Petroleum Pipeline Interface Recognition and Pose Detection Based on Binocular Stereo Vision

et al. 2022

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Liquified natural gas (LNG) manipulator arms have been widely used in natural gas transportation. However, the automatic docking technology of LNG manipulator arms has not yet been realized. The first step of automatic docking is to identify and locate the target and estimate its pose. This work proposes a petroleum pipeline interface recognition and pose judgment method based on binocular stereo vision technology for the automatic docking of LNG manipulator arms. The proposed method has three main steps, including target detection, 3D information acquisition, and plane fitting. First, the target petroleum pipeline interface is segmented by using a color mask. Then, color space and Hu moment are used to obtain the pixel coordinates of the contour and center of the target petroleum pipeline interface. The semi-global block matching (SGBM) algorithm is used for stereo matching to obtain the depth information of an image. Finally, a plane fitting and center point estimation method based on a random sample consensus (RANSAC) algorithm is proposed. This work performs a measurement accuracy verification experiment to verify the accuracy of the proposed method. The experimental results show that the distance measurement error is not more than 1% and the angle measurement error is less than one degree. The measurement accuracy of the method meets the requirements of subsequent automatic docking, which proves the feasibility of the proposed method and provides data support for the subsequent automatic docking of manipulator arms.

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Improvement of disparity map refinement stage using adaptive least square plane fitting technique

Cited by 3 publications

References 9 publications

Using Enhanced Reordered Census Transform for Semiglobal Stereo Matching Algorithm

Using Enhanced Reordered Census Transform for Semiglobal Stereo Matching Algorithm

mproved Stereo Matching Algorithm based on Census Transform and Dynamic Histogram Cost Computation

Petroleum Pipeline Interface Recognition and Pose Detection Based on Binocular Stereo Vision

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