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Ditemukan 83 dari pencarian Anda melalui kata kunci: subject="SC"
Hal. Awal Sebelumnya 6 7 8 9
cover
Efficient coarse registration method using translation- and rotation-invarian…
Komentar Bagikan
Eric HyyppaJesse MuhojokiXiaowei YuAntero KukkoHarri KaartinenJuha Hyypp

In this paper, we present a simple, efficient, and robust algorithm for 2D coarse registration of two point clouds. In the proposed algorithm, the locations of some distinct objects are detected from the point cloud data, and a rotation- and translation-invariant feature descriptor vector is computed for each of the detected objects based on the relative locations of the neighboring objects. Su…

Edisi
Vol.2, December 2021
ISBN/ISSN
1872-8235
Deskripsi Fisik
16 hlm PDF, 4.155 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
cover
Towards spherical robots for mobile mapping in human made environments
Komentar Bagikan
Fabian ArzbergerAnton BredenbeckJasper ZeveringDorit BorrmannAndreas Nüchter

Spherical robots are a format that has not been thoroughly explored for the application of mobile mapping. In contrast to other designs, it provides some unique advantages. Among those is a spherical shell that protects internal sensors and actuators from possible harsh environments, as well as an inherent rotation for locomotion that enables measurements in all directions. Mobile mapping alway…

Edisi
Vol.1, October 2021
ISBN/ISSN
1872-8235
Deskripsi Fisik
13 hlm PDF, 9,142 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
cover
The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution…
Komentar Bagikan
Michael KolleDominik LaupheimerStefan SchmohlNorbert HaalaFranz RottensteinerJan Dirk WegnerHugo Ledoux

Automated semantic segmentation and object detection are of great importance in geospatial data analysis. However, supervised machine learning systems such as convolutional neural networks require large corpora of annotated training data. Especially in the geospatial domain, such datasets are quite scarce. Within this paper, we aim to alleviate this issue by introducing a new annotated 3D datas…

Edisi
Vol.1, October 2021
ISBN/ISSN
1872-8235
Deskripsi Fisik
11 hlm PDF., 8,202 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
Hal. Awal Sebelumnya 6 7 8 9