Point2cyl: Reverse engineering 3d objects from point clouds to extrusion cylinders
Abstract We propose Point2Cyl, a supervised network transforming a raw 3D point cloud to a
set of extrusion cylinders. Reverse engineering from a raw geometry to a CAD model is an …
set of extrusion cylinders. Reverse engineering from a raw geometry to a CAD model is an …
Non‐uniform B‐spline surface fitting from unordered 3D point clouds for as‐built modeling
A Dimitrov, R Gu… - Computer‐Aided Civil and …, 2016 - Wiley Online Library
The three‐dimensional map** of the built environment is of particular importance for
engineering applications such as monitoring work‐in‐progress and energy performance …
engineering applications such as monitoring work‐in‐progress and energy performance …
Call preemption in communication networks
The authors address the problem of preempting ongoing calls in a communication network
in order to accommodate new calls. They investigate some problems that relate to making …
in order to accommodate new calls. They investigate some problems that relate to making …
Uniform coverage tool path generation for robotic surface finishing of curved surfaces
We provide a novel solution to the problem of robot tool path generation to uniformly cover
the surface area of a curved surface with varying curvatures by using a circular, flat finishing …
the surface area of a curved surface with varying curvatures by using a circular, flat finishing …
Generic primitive detection in point clouds using novel minimal quadric fits
We present a novel and effective method for detecting 3D primitives in cluttered,
unorganized point clouds, without axillary segmentation or type specification. We consider …
unorganized point clouds, without axillary segmentation or type specification. We consider …
Local hough transform for 3d primitive detection
Detecting primitive geometric shapes, such as cylinders, planes and spheres, in 3D point
clouds is an important building block for many high-level vision tasks. One approach for this …
clouds is an important building block for many high-level vision tasks. One approach for this …
Modeling connected regions in arbitrary planar point clouds by robust B-spline approximation
This paper presents an algorithm for robustly approximating the boundary of a domain,
latent in a planar set of scattered points, by a B-spline curve. The algorithm is characterized …
latent in a planar set of scattered points, by a B-spline curve. The algorithm is characterized …
Efficient point cloud segmentation approach using energy optimization with geometric features for 3D scene understanding
X Li, G Liu, S Sun - Journal of the Optical Society of America A, 2020 - opg.optica.org
Efficient and quick extraction of unknown objects in cluttered 3D scenes plays a significant
role in robotics tasks such as object search, gras**, and manipulation. This paper …
role in robotics tasks such as object search, gras**, and manipulation. This paper …
A minimalist approach to type-agnostic detection of quadrics in point clouds
This paper proposes a segmentation-free, automatic and efficient procedure to detect
general geometric quadric forms in point clouds, where clutter and occlusions are inevitable …
general geometric quadric forms in point clouds, where clutter and occlusions are inevitable …
Depth-assisted rectification for real-time object detection and pose estimation
RGB-D sensors have become in recent years a product of easy access to general users.
They provide both a color image and a depth image of the scene and, besides being used …
They provide both a color image and a depth image of the scene and, besides being used …