Siltanen, 2017 - Google Patents
Diminished reality for augmented reality interior designSiltanen, 2017
- Document ID
- 14562529839459346181
- Author
- Siltanen S
- Publication year
- Publication venue
- The Visual Computer
External Links
Snippet
A modular real-time diminished reality pipeline for indoor applications is presented. The pipeline includes a novel inpainting method which requires no prior information of the textures behind the object to be diminished. The inpainting method operates on rectified …
- 230000003292 diminished 0 title abstract description 71
Classifications
-
- 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
- G06T15/60—Shadow generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- 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
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/10—Geometric effects
- G06T15/20—Perspective computation
-
- 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
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- 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
- G06T11/00—2D [Two Dimensional] image generation
-
- 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
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2210/00—Indexing scheme for image generation or computer graphics
- G06T2210/08—Bandwidth reduction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Siltanen | Diminished reality for augmented reality interior design | |
| US11210838B2 (en) | Fusing, texturing, and rendering views of dynamic three-dimensional models | |
| US11721071B2 (en) | Methods and systems for producing content in multiple reality environments | |
| US20240062345A1 (en) | Method, apparatus, and computer-readable medium for foreground object deletion and inpainting | |
| Li et al. | Physically-based editing of indoor scene lighting from a single image | |
| US9330500B2 (en) | Inserting objects into content | |
| Longhurst et al. | A gpu based saliency map for high-fidelity selective rendering | |
| US11055916B2 (en) | Virtualizing content | |
| Meilland et al. | 3d high dynamic range dense visual slam and its application to real-time object re-lighting | |
| Rematas et al. | Image-based synthesis and re-synthesis of viewpoints guided by 3d models | |
| Zollmann et al. | Image-based ghostings for single layer occlusions in augmented reality | |
| Pintore et al. | Instant automatic emptying of panoramic indoor scenes | |
| Du et al. | Video fields: fusing multiple surveillance videos into a dynamic virtual environment | |
| Tukur et al. | SPIDER: A framework for processing, editing and presenting immersive high-resolution spherical indoor scenes | |
| Unger et al. | Spatially varying image based lighting using HDR-video | |
| Ji et al. | Virtual home staging: Inverse rendering and editing an indoor panorama under natural illumination | |
| Kunert et al. | An efficient diminished reality approach using real-time surface reconstruction | |
| Liu et al. | Fog effect for photography using stereo vision | |
| Schwandt | High-Quality Illumination of Virtual Objects Based on an Environment Estimation in Mixed Reality Applications | |
| Kim et al. | Planar abstraction and inverse rendering of 3D indoor environments | |
| Koc et al. | Estimation of environmental lighting from known geometries for mobile augmented reality | |
| Sommer et al. | Real-time Light Estimation and Neural Soft Shadows for AR Indoor Scenarios | |
| Schwandt et al. | Environment estimation for glossy reflections in mixed reality applications using a neural network | |
| Lensing et al. | Fusing the real and the virtual: a depth-camera based approach to mixed reality | |
| Heindl et al. | Capturing photorealistic and printable 3d models using low-cost hardware |