Automatic Registration Algorithm for the Point Clouds Based on the Optimized RANSAC and IWOA Algorithms for Robotic Manufacturing

Article Computer Science, Hardware & Architecture

Efficient plane extraction using normal estimation and RANSAC from 3D point cloud

Lina Yang et al.

Summary: This study proposes an indoor plane detection method based on space decomposition and optimized RANSAC algorithm. By using the weighted PCA method to estimate normal vectors, employing angular clustering to divide space, and utilizing an optimized RANSAC method, the proposed method can efficiently and effectively detect plane structures in indoor point clouds.

COMPUTER STANDARDS & INTERFACES (2022)

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Article Chemistry, Analytical

Colored Point Cloud Registration by Depth Filtering

Ouk Choi et al.

Summary: In this paper, a new algorithm with improved numerical stability is proposed for colored point cloud registration. The algorithm constructs a cost function based on an adaptive combination of two different projected distances to prevent numerical instability. The extension allows all source points to be processed in a unified framework, irrespective of the existence of their corresponding points in the reference point cloud, and also improves the numerical stability of using point-to-plane distances.

SENSORS (2021)

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Article Agriculture, Multidisciplinary

Direct and accurate feature extraction from 3D point clouds of plants using RANSAC

Morteza Ghahremani et al.

Summary: This paper introduces a robust method for the direct analysis of plants using point cloud data, generalizing the random sample consensus (RANSAC) algorithm for modeling different plant organs and enhancing the technique's resilience to undesirable outliers. The proposed method demonstrates stable performance under imaging noise and cluttered background compared to conventional methods in experiments.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)

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Article Chemistry, Multidisciplinary

Color Point Cloud Registration Algorithm Based on Hue

Siyu Ren et al.

Summary: The study introduces a color point cloud registration algorithm based on hue to address the issue of errors in similar structures using ICP method. By extracting hue component for robustness and optimizing error function for accuracy, the algorithm improves performance and achieves better results.

APPLIED SCIENCES-BASEL (2021)

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Article Computer Science, Software Engineering