Segmentation and reconstruction of polyhedral building roofs from aerial lidar point clouds
This paper presents a solution framework for the segmentation and reconstruction of
polyhedral building roofs from aerial LIght Detection And Ranging (lidar) point clouds. The …
polyhedral building roofs from aerial LIght Detection And Ranging (lidar) point clouds. The …
A clustering method for efficient segmentation of 3D laser data
K Klasing, D Wollherr, M Buss - 2008 IEEE international …, 2008 - ieeexplore.ieee.org
In this paper we present a novel method for the efficient segmentation of 3D laser range
data. The proposed algorithm is based on a radially bounded nearest neighbor strategy and …
data. The proposed algorithm is based on a radially bounded nearest neighbor strategy and …
Grasping novel objects with depth segmentation
We consider the task of grasping novel objects and cleaning fairly cluttered tables with many
novel objects. Recent successful approaches employ machine learning algorithms to …
novel objects. Recent successful approaches employ machine learning algorithms to …
Segmentation of terrestrial laser scanning data using geometry and image information
S Barnea, S Filin - ISPRS Journal of photogrammetry and remote sensing, 2013 - Elsevier
Terrestrial laser scanning is becoming a standard technology for 3D modeling of complex
scenes. Laser scans contain detailed geometric information, but still require interpretation of …
scenes. Laser scans contain detailed geometric information, but still require interpretation of …
Variants of seeded region growing
M Fan, TCM Lee - IET image processing, 2015 - Wiley Online Library
Seeded region growing (SRG) is a fast, effective and robust method for image segmentation.
It begins with placing a set of seeds in the image to be segmented, where each seed could …
It begins with placing a set of seeds in the image to be segmented, where each seed could …
A generalized kernel consensus-based robust estimator
In this paper, we present a new adaptive-scale kernel consensus (ASKC) robust estimator
as a generalization of the popular and state-of-the-art robust estimators such as random …
as a generalization of the popular and state-of-the-art robust estimators such as random …
A fast and fully distributed method for region-based image segmentation: Fast distributed region-based image segmentation
S Mazouzi, Z Guessoum - Journal of Real-Time Image Processing, 2021 - Springer
Distributed and parallel computing techniques allow fast image processing, namely when
these techniques are applied at the low and the medium level of a vision system. In this …
these techniques are applied at the low and the medium level of a vision system. In this …
Perception and grasping of object parts from active robot exploration
Like humans, robots that need semantic perception and accurate estimation of the
environment can increase their knowledge through active interaction with objects. This …
environment can increase their knowledge through active interaction with objects. This …
Segmentation of façades from urban 3D point clouds using geometrical and morphological attribute-based operators
3D building segmentation is an important research issue in the remote sensing community
with relevant applications to urban modeling, cloud-to-cloud and cloud-to-model registration …
with relevant applications to urban modeling, cloud-to-cloud and cloud-to-model registration …
Methodology of detection and classification of selected aviation obstacles based on UAV dense image matching
M Lalak, D Wierzbicki - IEEE Journal of Selected Topics in …, 2022 - ieeexplore.ieee.org
Currently, more and more accurate data provided by UAVs make it possible to analyze land
cover, which requires the detection of objects and their individual elements. Object detection …
cover, which requires the detection of objects and their individual elements. Object detection …