ROOFN3D: DEEP LEARNING TRAINING DATA FOR 3D BUILDING RECONSTRUCTION

ROOFN3D: DEEP LEARNING TRAINING DATA FOR 3D BUILDING RECONSTRUCTION

Machine learning methods have gained in importance through the latest development of artificial intelligence and computer hardware. Particularly approaches based on deep learning have shown that they are able to provide state-of-the-art results for various tasks. However, the direct application of d...

Full description

Bibliographic Details
Main Authors:	A. Wichmann, A. Agoub, M. Kada
Format:	Article
Language:	English
Published:	Copernicus Publications 2018-05-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2/1191/2018/isprs-archives-XLII-2-1191-2018.pdf

Similar Items

SUB-SURFACE GROWING AND BOUNDARY GENERALIZATION FOR 3D BUILDING RECONSTRUCTION
by: M. Kada, et al.
Published: (2012-07-01)

DEEP LEARNING FOR 3D BUILDING RECONSTRUCTION: A REVIEW
by: M. Buyukdemircioglu, et al.
Published: (2022-05-01)

GENERATING 3D CITY MODELS BASED ON THE SEMANTIC SEGMENTATION OF LIDAR DATA USING CONVOLUTIONAL NEURAL NETWORKS
by: A. Agoub, et al.
Published: (2019-09-01)

3D Building Adjustment Using Planar Half-Space Regularities
by: A. Wichmann, et al.
Published: (2014-08-01)

Feature-Driven 3D Building Modeling using Planar Halfspaces
by: M. Kada, et al.
Published: (2013-10-01)

ANIMATION STRATEGIES FOR SMOOTH TRANSFORMATIONS BETWEEN DISCRETE LODS OF 3D BUILDING MODELS
by: M. Kada, et al.
Published: (2016-06-01)

3D Building Façade Reconstruction Using Deep Learning
by: Konstantinos Bacharidis, et al.
Published: (2020-05-01)

JOINT SIMULTANEOUS RECONSTRUCTION OF REGULARIZED BUILDING SUPERSTRUCTURES FROM LOW-DENSITY LIDAR DATA USING ICP
by: A. Wichmann, et al.
Published: (2016-06-01)

3D RECONSTRUCTION OF SIMPLE BUILDINGS FROM POINT CLOUDS USING NEURAL NETWORKS WITH CONTINUOUS CONVOLUTIONS (CONVPOINT)
by: M. Kada
Published: (2022-10-01)

Fast Data Generation for Training Deep-Learning 3D Reconstruction Approaches for Camera Arrays
by: Théo Barrios, et al.
Published: (2023-12-01)

SPACE PARTITIONING FOR PRIVACY ENABLED 3D CITY MODELS
by: Y. Filippovska, et al.
Published: (2016-10-01)

Matching Aerial Images to 3D Building Models Using Context-Based Geometric Hashing
by: Jaewook Jung, et al.
Published: (2016-06-01)

3D building reconstruction from single street view images using deep learning
by: Hui En Pang, et al.
Published: (2022-08-01)

Progressive Transmission of 3D Building Models based on String Grammars and Planar Half-Spaces
by: M. Kada
Published: (2014-11-01)

INTEGRATION OF BUILDING KNOWLEDGE INTO BINARY SPACE PARTITIONING FOR THE RECONSTRUCTION OF REGULARIZED BUILDING MODELS
by: A. Wichmann, et al.
Published: (2015-09-01)

3D INDOOR BUILDING ENVIRONMENT RECONSTRUCTION USING CALIBRATION OF RANGEFINDER DATA
by: A. Jamali, et al.
Published: (2015-10-01)

3D BUILDING FAÇADE RECONSTRUCTION USING HANDHELD LASER SCANNING DATA
by: F. Sadeghi, et al.
Published: (2015-12-01)

A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data
by: Mustafa Z. Yousif, et al.
Published: (2023-02-01)

WIRE STRUCTURE IMAGE-BASED 3D RECONSTRUCTION AIDED BY DEEP LEARNING
by: V. V. Kniaz, et al.
Published: (2020-08-01)

Single Target SAR 3D Reconstruction Based on Deep Learning
by: Shihong Wang, et al.
Published: (2021-02-01)

Deep-Learning-Based 3D Reconstruction: A Review and Applications
by: Yinhai Li, et al.
Published: (2022-01-01)

Weakly Supervised Learning of 3D Deep Network for Neuron Reconstruction
by: Qing Huang, et al.
Published: (2020-07-01)

Survey on 3D Reconstruction Methods Based on Visual Deep Learning
by: LI Mingyang, CHEN Wei, WANG Shanshan, LI Jie, TIAN Zijian, ZHANG Fan
Published: (2023-02-01)

AUTOMATED RECONSTRUCTION OF 3D BUILDINGS IN HISTORIC CITY CENTERS FROM LIDAR DATA AND 2D BUILDING FOOTPRINTS
by: J. Ingensand, et al.
Published: (2018-09-01)

Enhancing 3D Reconstruction Model by Deep Learning and Its Application in Building Damage Assessment after Earthquake
by: Zhonghua Hong, et al.
Published: (2022-09-01)

Fusing Georeferenced and Stereoscopic Image Data for 3D Building Façade Reconstruction
by: Konstantinos Bacharidis, et al.
Published: (2018-04-01)

3D RECONSTRUCTION OF BUILDINGS WITH GABLED AND HIPPED STRUCTURES USING LIDAR DATA
by: H. Amini, et al.
Published: (2014-10-01)

DENSE 3D OBJECT RECONSTRUCTION USING STRUCTURED-LIGHT SCANNER AND DEEP LEARNING
by: V. V. Kniaz, et al.
Published: (2020-08-01)

Multi-Drone 3D Building Reconstruction Method
by: Anton Filatov, et al.
Published: (2021-11-01)

Hand gesture recognition via deep data optimization and 3D reconstruction
by: Zaid Mustafa, et al.
Published: (2023-10-01)

PHOTOGRAMMETRIC 3D BUILDING RECONSTRUCTION FROM THERMAL IMAGES
by: E. Maset, et al.
Published: (2017-08-01)

Deep Learning for 3D Reconstruction, Augmentation, and Registration: A Review Paper
by: Prasoon Kumar Vinodkumar, et al.
Published: (2024-03-01)

Retracted: Deep-Learning-Based 3D Reconstruction: A Review and Applications
by: Applied Bionics and Biomechanics
Published: (2024-01-01)

A Freehand 3D Ultrasound Reconstruction Method Based on Deep Learning
by: Xin Chen, et al.
Published: (2023-03-01)

Reconstructing 2-D/3-D Building Shapes from Spaceborne Tomographic Synthetic Aperture Radar Data
by: M. Shahzad, et al.
Published: (2014-08-01)

RECONSTRUCTION OF 3D VECTOR MODELS OF BUILDINGS BY COMBINATION OF ALS, TLS AND VLS DATA
by: H. Boulaassal, et al.
Published: (2012-09-01)

Building 3-D Reconstruction With a Small Data Stack Using SAR Tomography
by: Hongliang Lu, et al.
Published: (2020-01-01)

PRIMITIVE-BASED 3D BUILDING RECONSTRUCTION METHOD TESTED BY REFERENCE AIRBORNE DATA
by: W. Zhang, et al.
Published: (2012-07-01)

Exploring the Latent Manifold of City Patterns
by: Amgad Agoub, et al.
Published: (2021-10-01)

3D reconstruction from stereographic data
by: Tay, Leng Phuan.
Published: (2009)