Richter et al., 2014 - Google Patents
Concepts and techniques for integration, analysis and visualization of massive 3D point cloudsRichter et al., 2014
- Document ID
- 2929831885190079123
- Author
- Richter R
- Döllner J
- Publication year
- Publication venue
- Computers, Environment and Urban Systems
External Links
Snippet
Remote sensing methods, such as LiDAR and image-based photogrammetry, are established approaches for capturing the physical world. Professional and low-cost scanning devices are capable of generating dense 3D point clouds. Typically, these 3D …
- 238000004458 analytical method 0 title abstract description 44
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Richter et al. | Concepts and techniques for integration, analysis and visualization of massive 3D point clouds | |
Chen et al. | Automatic building information model reconstruction in high-density urban areas: Augmenting multi-source data with architectural knowledge | |
Qin et al. | 3D change detection–approaches and applications | |
Wieland et al. | Estimating building inventory for rapid seismic vulnerability assessment: Towards an integrated approach based on multi-source imaging | |
Li et al. | Reconstructing building mass models from UAV images | |
Richter et al. | Object class segmentation of massive 3D point clouds of urban areas using point cloud topology | |
Cura et al. | A scalable and multi-purpose point cloud server (PCS) for easier and faster point cloud data management and processing | |
Ehrlich et al. | Extracting building stock information from optical satellite imagery for mapping earthquake exposure and its vulnerability | |
Bill et al. | Geospatial information research: state of the art, case studies and future perspectives | |
Gamal et al. | Automatic LIDAR building segmentation based on DGCNN and euclidean clustering | |
Xiao et al. | Building segmentation and modeling from airborne LiDAR data | |
Discher et al. | A scalable webGL-based approach for visualizing massive 3D point clouds using semantics-dependent rendering techniques | |
Aijazi et al. | Automatic removal of imperfections and change detection for accurate 3D urban cartography by classification and incremental updating | |
Discher et al. | Service-oriented processing and analysis of massive point clouds in geoinformation management | |
Xuqin | Application of network protocol improvement and image content search in mathematical calculus 3D modeling video analysis | |
Poux et al. | Point Clouds as an Efficient Multiscale Layered Spatial Representation. | |
Doulamis et al. | Selective 4D modelling framework for spatial-temporal land information management system | |
Keyvanfar et al. | Performance comparison analysis of 3D reconstruction modeling software in construction site visualization and mapping | |
Elkhrachy | Feature extraction of laser scan data based on geometric properties | |
Hao et al. | Automatic building extraction from terrestrial laser scanning data | |
Veselý | Building massing generation using GAN trained on Dutch 3D city models | |
Xiao et al. | Building footprint extraction based on radiometric and geometric constraints in airborne oblique images | |
Liu et al. | A survey on processing of large-scale 3D point cloud | |
Ballouch et al. | Semantic segmentation of airborne LiDAR data for the development of an urban 3D model | |
Boos | Image Segmentation using Convolutional Neural Networks for Change Detection of Landcover |