Showing 141 - 160 results of 398 for search '"RANSAC"', query time: 0.08s Refine Results
  1. 141

    Feature Point Tracking Method for Visual SLAM Based on Multi-Condition Constraints in Light Changing Environment by Zibin Wu, Deping Li, Chuangding Li, Yanyu Chen, Shaobin Li

    Published 2023-06-01
    “…First, to solve the problem of feature point mismatch in complex environments, we propose a feature point mismatch removal method that combines optical flow, descriptor, and RANSAC. We eliminate incorrect feature point matches layer by layer through these constraints. …”
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    Article
  2. 142

    A Mobile Augmented Reality System for the Real-Time Visualization of Pipes in Point Cloud Data with a Depth Sensor by Young-Hoon Jin, In-Tae Hwang, Won-Hyung Lee

    Published 2020-05-01
    “…Therefore, for the real-time visualization in augmented reality devices, the fast cylinder matching method using random sample consensus (RANSAC) is required. In this paper, we proposed parallel processing, multiple frames, adjustable scale, and error correction for real-time visualization. …”
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    Article
  3. 143

    Three-Dimensional Reconstruction of Soybean Canopy Based on Multivision Technology for Calculation of Phenotypic Traits by Feiyi Wang, Xiaodan Ma, Meng Liu, Bingxue Wei

    Published 2022-03-01
    “…The average deviation of the RANSAC + ICP was 0.0323, which was 0.0214 lower thanthe value calculated by the ICP algorithm. …”
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    Article
  4. 144

    Voxel-Based Scene Representation for Camera Pose Estimation of a Single RGB Image by Sangyoon Lee, Hyunki Hong, Changkyoung Eem

    Published 2020-12-01
    “…We extract inlier points from the 3D point set in a voxel using random sample consensus (RANSAC)-based plane fitting to obtain a set of interest points consisting of a major plane. …”
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    Article
  5. 145

    Semi-automated Generation of Geometric Digital Twin for Bridge Based on Terrestrial Laser Scanning Data by Kaixin Hu, Daguang Han, Guocheng Qin, Yin Zhou, Long Chen, Chunli Ying, Tong Guo, Yanhui Liu

    Published 2023-01-01
    “…Second, an improved random sample consensus (RANSAC) algorithm based on distribution density is adopted to extract the cross sections of the arch bridge components, except the arch ring. …”
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    Article
  6. 146

    Embedded video stabilization system on field programmable gate array for unmanned aerial vehicle by Mazlan, Mohd. Farizal Firdaus

    Published 2017
    “…Motion estimation involves block matching and Random Sample Consensus (RANSAC) to estimate the affine matrix that defines the motion perspective between two consecutive frames. …”
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    Thesis
  7. 147

    دراسة أداء واصفات النقاط المميزة في بناء صورة بانورامية by إياد حاتم, يحيى إبراهيم

    Published 2017-10-01
    “…اُستخدمت خوارزمية اختبار التقاطع وخوارزمية RANSAC (إجماع العينات العشوائية) لإيجاد مصفوفة الانتقال بين الصور. …”
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    Article
  8. 148

    Extracting Diameter at Breast Height with a Handheld Mobile LiDAR System in an Outdoor Environment by Sanzhang Zhou, Feng Kang, Wenbin Li, Jiangming Kan, Yongjun Zheng, Guojian He

    Published 2019-07-01
    “…The 3D point cloud map in the forest area was processed offline, and the ground point cloud was removed by the random sample consensus (RANSAC) algorithm. The trees in the experimental area were segmented by the European clustering algorithm, and the DBH component of the tree point cloud was extracted and projected onto a 2D plane, fitting the DBH of the trees using the RANSAC algorithm in the plane. …”
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    Article
  9. 149

    Research on online measurement method of image target size based on binocular vision by H Chen

    Published 2024-03-01
    “…At the same time, an improved camera calibration method based on two-step RANSAC algorithm was proposed, and the calibration flow of binocular camera was designed for the improved calibration method. …”
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    Article
  10. 150

    ANN-Based Estimation of Low-Latitude Monthly Ocean Latent Heat Flux by Ensemble Satellite and Reanalysis Products by Xiaowei Chen, Yunjun Yao, Yufu Li, Yuhu Zhang, Kun Jia, Xiaotong Zhang, Ke Shang, Junming Yang, Xiangyi Bei, Xiaozheng Guo

    Published 2020-08-01
    “…Compared to three other <i>ML</i> methods (<i>RF</i>, <i>BR</i> and <i>RANSAC</i>), <i>ANN</i> method exhibited the best performance according to the validation results. …”
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    Article
  11. 151

    Research and Application of SURF and Gray Difference in Detection of Small Modulus Plastic Gear Defect by Yang Ya, Tao Hongyan, Yu Chengbo

    Published 2018-01-01
    “…The obtained key points are iteratively sorted,and the RANSAC( Random sample consensus) algorithm is used to extract the matching points for two times. …”
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    Article
  12. 152

    Image registration by Tan, Jun Hao

    Published 2018
    “…Similarly, the M-estimator is a modified technique of the Random Sample Consensus (RANSAC).…”
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    Final Year Project (FYP)
  13. 153

    An integrated Bayesian approach to layer extraction from image sequences by Torr, PHS, Szeliski, R, Anandan, P

    Published 2001
    “…In order to achieve the optimization, a Bayesian version of RANSAC is developed with which to initialize the segmentation. …”
    Journal article
  14. 154

    Comprehensive Evaluation of Multispectral Image Registration Strategies in Heterogenous Agriculture Environment by Shubham Rana, Salvatore Gerbino, Mariano Crimaldi, Valerio Cirillo, Petronia Carillo, Fabrizio Sarghini, Albino Maggio

    Published 2024-02-01
    “…This article is focused on the comprehensive evaluation of alleyways to scale-invariant feature transform (SIFT) and random sample consensus (RANSAC) based multispectral (MS) image registration. …”
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    Article
  15. 155

    Event reconstruction in ACTAR TPC: Adaptation for transfer experiments by Lozano-González Miguel, Fernández-Domínguez Beatriz, Lois-Fuentes Juan, Roger Thomas

    Published 2023-01-01
    “…Preliminary results of the performance of the RANSAC algorithm over data measured with the ACTAR TPC detector are herewith presented. …”
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    Article
  16. 156

    Smart Shelf System for Customer Behavior Tracking in Supermarkets by John Anthony C. Jose, Christopher John B. Bertumen, Marianne Therese C. Roque, Allan Emmanuel B. Umali, Jillian Clara T. Villanueva, Richard Josiah TanAi, Edwin Sybingco, Jayne San Juan, Erwin Carlo Gonzales

    Published 2024-01-01
    “…Multiple particle filtering predicted the trajectory of each customer’s centroid and wrist keypoints relative to the location of each product. RANSAC modeling was implemented on the particles to associate a customer with each event. …”
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    Article
  17. 157

    Robust Centroid Estimation Method with the Rough and Refined Estimation for Interplanetary Optical Navigation by Qichang Qiang, Baojun Lin, Yingchun Liu, Xia Lin

    Published 2023-01-01
    “…Then, we establish a rough estimation with RANSAC to remove the outliers around the edges. Next, we propose a refined estimation based on the hybrid genetic algorithm to precisely estimate the navigation observations. …”
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    Article
  18. 158

    PoseDiffusion: solving pose estimation via diffusion-aided bundle adjustment by Wang, J, Rupprecht, C, Novotny, D

    Published 2023
    “…Camera pose estimation is a long-standing computer vision problem that to date often relies on classical methods, such as handcrafted keypoint matching, RANSAC and bundle adjustment. In this paper, we propose to formulate the Structure from Motion (SfM) problem inside a probabilistic diffusion framework, modelling the conditional distribution of camera poses given input images. …”
    Conference item
  19. 159

    Steep slope DEM model construction based on the unmanned aerial vehicle (UAV) images by Xi, Wenfei, Li, Dongsheng

    Published 2017
    “…First of all, the high and steep slope image was obtained through unmanned aerial vehicle (UAV) platform; Then the SIFT algorithm is used to extract the feature points which are going to be matched accurately by using RANSAC algorithm. Finally, stereo pair splicing method is used to generate orthogonal images and construct DEM model. …”
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    Article
  20. 160

    Enhancing multilayer perceptron neural network using archive-based harris hawks optimizer to predict gold prices by Iyad Abu-Doush, Basem Ahmed, Mohammed A. Awadallah, Mohammed Azmi Al-Betar, Aaron Rasheed Rababaah

    Published 2023-05-01
    “…The performance of the proposed AHHO-NN model is compared against four swarm intelligence algorithms (i.e., HHO-NN, JAYA-NN, MFO-NN, PSO-NN) as well as four classical machine learning techniques (i.e., linear regression (LR), MLP Regressor (MLP), RANSAC Regressor (RANSAC), and TheilSen Regressor (TR)). …”
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    Article