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Efficient registration of multi-view point sets by K-means clustering
This paper casts multi-view registration as a clustering task that can be solved using an
approach proposed based on K-means clustering. For clustering, all centroids are uniformly …
approach proposed based on K-means clustering. For clustering, all centroids are uniformly …
[HTML][HTML] An accurate TLS and UAV image point clouds registration method for deformation detection of chaotic hillside areas
Deformation detection determines the quantified change of a scene's geometric state, which
is of great importance for the mitigation of hazards and property loss from earth observation …
is of great importance for the mitigation of hazards and property loss from earth observation …
[PDF][PDF] A linear programming approach for 3D point cloud simplification
Advances in data acquisition technology have made it possible to obtain high-density
samples from the surface of an object. Such samples produce thousands or even millions of …
samples from the surface of an object. Such samples produce thousands or even millions of …
Toward Meta-Shape-Based Multi-View 3D Point Cloud Registration: An Evaluation
Reducing cumulative registration error is critical to accurate 3D multi-view registration. Meta-
shape based methods optimize rigid transformations of point clouds by iteratively registering …
shape based methods optimize rigid transformations of point clouds by iteratively registering …
Hierarchical K-means clustering for registration of multi-view point sets
As a long-standing research issue in computer vision and robotics, multi-view registration
has attracted much attention in recent years. Most existing works are mainly focus on the …
has attracted much attention in recent years. Most existing works are mainly focus on the …
Registration of multi-view point sets under the perspective of expectation-maximization
Multi-view registration plays a critical role in 3D model reconstruction. To solve this problem,
most previous methods align point sets by either partially exploring available information or …
most previous methods align point sets by either partially exploring available information or …
Global and local defect detection for 3D printout surface based on geometric shape comparison
B Ye, KJ Kim, EP Sacks - Precision Engineering, 2023 - Elsevier
A 3D printer produces parts from CAD models. The printout must be checked for defects. We
present a surface defect detection algorithm that constructs a 3D mesh of the printout by …
present a surface defect detection algorithm that constructs a 3D mesh of the printout by …
Improved techniques for multi-view registration with motion averaging
Recently, motion averaging has been introduced as an effective means to solve multi-view
registration problem. This approach utilizes the Lie-algebras to implement the averaging of …
registration problem. This approach utilizes the Lie-algebras to implement the averaging of …
Weighted motion averaging for the registration of multi-view range scans
Multi-view registration is a fundamental but challenging task in 3D reconstruction and robot
vision. Although the original motion averaging algorithm has been introduced as an effective …
vision. Although the original motion averaging algorithm has been introduced as an effective …