Balloni et al., 2023 - Google Patents
- ️Sun Jan 01 2023
Balloni et al., 2023
View PDF-
Document ID
- 9850407377812444679 Author
- Gorgoglione L
- Paolanti M
- Mancini A
- Pierdicca R
- et al. Publication year
- 2023 Publication venue
- International Archives Of The Photogrammetry, Remote Sensing And Spatial Information Sciences
External Links
Snippet
3D documentation methods for Digital Cultural Heritage (DCH) domain is a field that becomes increasingly interdisciplinary, breaking down boundaries that have long separated experts from different domains. In the past, there has been an ambiguous claim for …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/10—Geometric effects
- G06T15/20—Perspective computation
- G06T15/205—Image-based rendering
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/04—Texture mapping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2219/00—Indexing scheme for manipulating 3D models or images for computer graphics
- G06T2219/20—Indexing scheme for editing of 3D models
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/06—Ray-tracing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/50—Lighting effects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/32—Image data format
-
- 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
- G06T2200/00—Indexing scheme for image data processing or generation, in general
-
- 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
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T13/00—Animation
-
- 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
- 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
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110458939B (en) | 2022-11-18 | Indoor scene modeling method based on visual angle generation |
Li et al. | 2023 | Generative ai meets 3d: A survey on text-to-3d in aigc era |
Musialski et al. | 2013 | A survey of urban reconstruction |
Zhai et al. | 2022 | Synthetic data augmentation for pixel-wise steel fatigue crack identification using fully convolutional networks |
Balloni et al. | 2023 | Few shot photogrametry: A comparison between NeRF and MVS-SFM for the documentation of cultural heritage |
Berger et al. | 2014 | State of the art in surface reconstruction from point clouds |
Horn et al. | 2022 | Artificial intelligence, 3D documentation, and rock art—approaching and reflecting on the automation of identification and classification of rock art images |
Heo et al. | 2013 | Productive high-complexity 3D city modeling with point clouds collected from terrestrial LiDAR |
Lafarge et al. | 2012 | A hybrid multiview stereo algorithm for modeling urban scenes |
Ren et al. | 2024 | Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies |
Liu et al. | 2019 | High-quality textured 3D shape reconstruction with cascaded fully convolutional networks |
Sharma et al. | 2021 | Point cloud upsampling and normal estimation using deep learning for robust surface reconstruction |
Zhang et al. | 2020 | Large-scale point cloud contour extraction via 3D guided multi-conditional generative adversarial network |
Richa et al. | 2022 | AdaSplats: Adaptive splatting of point clouds for accurate 3D modeling and real-time high-fidelity LiDAR simulation |
Xiang et al. | 2020 | Sketch‐based modeling with a differentiable renderer |
US20240046567A1 (en) | 2024-02-08 | Utilizing machine learning models for patch retrieval and deformation in completing three-dimensional digital shapes |
Bao et al. | 2025 | 3d gaussian splatting: Survey, technologies, challenges, and opportunities |
Yin et al. | 2021 | [Retracted] Virtual Reconstruction Method of Regional 3D Image Based on Visual Transmission Effect |
Wei et al. | 2023 | BuilDiff: 3D building shape generation using single-image conditional point cloud diffusion models |
Malah et al. | 2024 | Generating 3d reconstructions using generative models |
Guo et al. | 2024 | Full-automatic high-precision scene 3D reconstruction method with water-area intelligent complementation and mesh optimization for UAV images |
Li et al. | 2022 | [Retracted] 3D Real Scene Data Collection of Cultural Relics and Historical Sites Based on Digital Image Processing |
Gao et al. | 2019 | Multi-target 3d reconstruction from rgb-d data |
He et al. | 2021 | Manhattan‐world urban building reconstruction by fitting cubes |
Chu et al. | 2021 | Hole-filling framework by combining structural and textural information for the 3D Terracotta Warriors |