Linking points with labels in 3D: A review of point cloud semantic segmentation
Ripe with possibilities offered by deep-learning techniques and useful in applications
related to remote sensing, computer vision, and robotics, 3D point cloud semantic …
related to remote sensing, computer vision, and robotics, 3D point cloud semantic …
A review of point clouds segmentation and classification algorithms
Today 3D models and point clouds are very popular being currently used in several fields,
shared through the internet and even accessed on mobile phones. Despite their broad …
shared through the internet and even accessed on mobile phones. Despite their broad …
Octree-based region growing for point cloud segmentation
This paper introduces a novel, region-growing algorithm for the fast surface patch
segmentation of three-dimensional point clouds of urban environments. The proposed …
segmentation of three-dimensional point clouds of urban environments. The proposed …
Shape, illumination, and reflectance from shading
A fundamental problem in computer vision is that of inferring the intrinsic, 3D structure of the
world from flat, 2D images of that world. Traditional methods for recovering scene properties …
world from flat, 2D images of that world. Traditional methods for recovering scene properties …
The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components
There is a growing need for tools automating the processing of as-built 3D laser scanned
data, and more particularly the comparison of this as-built data with planned works. This …
data, and more particularly the comparison of this as-built data with planned works. This …
3D point cloud segmentation: A survey
3D point cloud segmentation is the process of classifying point clouds into multiple
homogeneous regions, the points in the same region will have the same properties. The …
homogeneous regions, the points in the same region will have the same properties. The …
Feature extraction methods for palmprint recognition: A survey and evaluation
Palmprint processes a number of unique features for reliable personal recognition.
However, different types of palmprint images contain different dominant features. Instead …
However, different types of palmprint images contain different dominant features. Instead …
Computational methods of acquisition and processing of 3D point cloud data for construction applications
Abstract 3D point cloud data from sensing technologies such as 3D laser scanning and
photogrammetry are able to capture the 3D surface geometries of target objects in an …
photogrammetry are able to capture the 3D surface geometries of target objects in an …
A review on image segmentation techniques
Many image segmentation techniques are available in the literature. Some of these
techniques use only the gray level histogram, some use spatial details while others use …
techniques use only the gray level histogram, some use spatial details while others use …
Seeded region growing
R Adams, L Bischof - IEEE Transactions on pattern analysis and …, 1994 - ieeexplore.ieee.org
We present here a new algorithm for segmentation of intensity images which is robust, rapid,
and free of tuning parameters. The method, however, requires the input of a number of …
and free of tuning parameters. The method, however, requires the input of a number of …