Results 1 to 10 of about 3,994 (183)
Geodesy and Cartography, 2012 Up‐to‐date digital photogrammetry involves operations on huge data sets, and with classical image processing procedures it might be time consuming to find out the best solution.
Birutė Ruzgienė, Wolfgang Förstner
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Evolutionary Optimization for Robust Epipolar-Geometry Estimation and Outlier Detection [PDF]
Algorithms, 2017 In this paper, a robust technique based on a genetic algorithm is proposed for estimating two-view epipolar-geometry of uncalibrated perspective stereo images from putative correspondences containing a high percentage of outliers.
Mozhdeh Shahbazi +2 more
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Robust parameter inversion of coal mining subsidence based on the combination of RANSAC and DE algorithms [PDF]
Scientific ReportsUnderground mining operations may lead to extensive surface environmental issues such as ground subsidence, cracks, and water accumulation. Obtaining high-precision mining subsidence prediction parameters in advance allows for accurate prediction of ...
Yuanfei Chen, Lei Wang
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Constant elasticity of substitution function based RANSAC for image stitching [PDF]
MATEC Web of Conferences, 2021 Feature matching is very important in image stitching. RANSAC algorithm is a representative algorithm for feature matching. However, RANSAC still has many shortcomings such as a large number of iterations, a large computational complexity and cannot ...
Zhuang Shengbin, Cao Lin, Guo Yanan
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CoRR, 2023 RANSAC and its variants are widely used for robust estimation, however, they commonly follow a greedy approach to finding the highest scoring model while ignoring other model hypotheses. In contrast, Iteratively Reweighted Least Squares (IRLS) techniques gradually approach the model by iteratively updating the weight of each correspondence based on the
Luca Cavalli +3 more
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Energy Efficient RANSAC Algorithm for Flat Surface Detection in Point Clouds
Energy Engineering and Control Systems, 2023 Mobile robots control systems achieve greater efficiency through the use of robust environmental analysis algorithms based on data collected from optical sensors such as depth cameras, Light Detection and Ranging sensors (LIDARs).
Anatoliy Zhuchenko +3 more
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Določitev položaja cerkvenega zvonika s terestričnim laserskim skeniranjem ( = Determination of church belfry position using terrestrial laser scanning) [PDF]
Geodetski Vestnik, 2020 In the past, church belfries, due to their shape and higher layout, often served as reference points in surveying. With the development of satellite based positioning methods and the establishment of the D96/TM coordinate system, they slowly lost their ...
Tine Hren +2 more
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Generalized Differentiable RANSAC
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 We propose $\nabla$-RANSAC, a generalized differentiable RANSAC that allows learning the entire randomized robust estimation pipeline. The proposed approach enables the use of relaxation techniques for estimating the gradients in the sampling distribution, which are then propagated through a differentiable solver.
Tong Wei 0002 +4 more
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Improving Plane Fitting Accuracy with Rigorous Error Models of Structured Light-Based RGB-D Sensors
Remote Sensing, 2020 Plane fitting is a fundamental operation for point cloud data processing. Most existing methods for point cloud plane fitting have been developed based on high-quality Lidar data giving equal weight to the point cloud data.
Yaxin Li +5 more
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Combined Method for Segmentation of Multiple Needles in 3D Liver CT
Current Directions in Biomedical Engineering, 2023 Radiofrequency ablation is a minimally invasive technique for treating liver or kidney tumors, where precisely inserted ablation probes destroy the tumor tissue with induced heat around their tips.
Moravová Adéla +2 more
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