Results 51 to 60 of about 22,647 (298)
TUM-FAÇADE: REVIEWING AND ENRICHING POINT CLOUD BENCHMARKS FOR FAÇADE SEGMENTATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Point clouds are widely regarded as one of the best dataset types for urban mapping purposes. Hence, point cloud datasets are commonly investigated as benchmark types for various urban interpretation methods.
O. Wysocki, L. Hoegner, U. Stilla
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Interactive Object Segmentation in 3D Point Clouds
2023 IEEE International Conference on Robotics and Automation (ICRA), 2023 We propose an interactive approach for 3D instance segmentation, where users can iteratively collaborate with a deep learning model to segment objects in a 3D point cloud directly. Current methods for 3D instance segmentation are generally trained in a fully-supervised fashion, which requires large amounts of costly training labels, and does not ...
Theodora Kontogianni +3 more
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A Deep Neural Network Using Double Self-Attention Mechanism for ALS Point Cloud Segmentation
IEEE Access, 2022 Airborne laser scanning (ALS) point cloud segmentation is an essential procedure for 3D data understanding and applications. This task is challenging due to the unstructured, disordered, and sparse distribution of the point cloud. PointNet++
Lili Yu, Haiyang Yu, Shuai Yang
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Sample Consensus Fitting of Bivariate Polynomials for Initializing EM-based Modeling of Smooth 3D Surfaces [PDF]
, 2013 This paper presents a method for finding the largest, connected, smooth surface in noisy depth images. The formulation of the fitting in a Sample Consensus way allows the use of RANSAC (or any other similar estimator), and makes the method tolerant ...
Michael Suppa +5 more
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Classification of ALS Point Cloud with Improved Point Cloud Segmentation and Random Forests [PDF]
Remote Sensing, 2017 This paper presents an automated and effective framework for classifying airborne laser scanning (ALS) point clouds. The framework is composed of four stages: (i) step-wise point cloud segmentation, (ii) feature extraction, (iii) Random Forests (RF) based feature selection and classification, and (iv) post-processing.
Huan Ni, Xiangguo Lin, Jixian Zhang
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Implementing PointNet for point cloud segmentation in the heritage context [PDF]
, 2023 Automated Heritage Building Information Modelling (HBIM) from the point cloud data has been researched in the last decade as HBIM can be the integrated data model to bring together diverse sources of complex cultural content relating to heritage ...
Haznedar, Bulent +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Key objects’ semantic segmentation and power line extraction from the electric power corridor point cloud are critical steps in power line inspection.
Xiuning Liu +5 more
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Rapid and accurate reverse engineering of geometry based on a multi-sensor system [PDF]
, 2014 The reduction of the lead time in measurement and reverse engineering, and the increased requirements in terms of accuracy and flexibility, have resulted in a great deal of research effort aimed at developing and implementing multi-sensor systems.
Longstaff, Andrew P. +8 more
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A REVIEW OF POINT CLOUDS SEGMENTATION AND CLASSIFICATION ALGORITHMS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Abstract. 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 availability, there is still a relevant need of methods, preferably automatic, to provide 3D data with meaningful attributes that characterize and provide significance to
GRILLI, ELEONORA +2 more
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