Nothing Special   »   [go: up one dir, main page]

Gong et al., 2021 - Google Patents

Planefusion: Real-time indoor scene reconstruction with planar prior

Gong et al., 2021

Document ID
13583024074617592601
Author
Gong B
Zhu Z
Yan C
Shi Z
Xu F
Publication year
Publication venue
IEEE Transactions on Visualization and Computer Graphics

External Links

Snippet

Real-time dense SLAM techniques aim to reconstruct the dense three-dimensional geometry of a scene in real time with an RGB or RGB-D sensor. An indoor scene is an important type of working environment for these techniques. The planar prior can be used in …
Continue reading at ieeexplore.ieee.org (other versions)

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
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • 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
    • 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
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • 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
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • 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
    • G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
    • G06K9/00684—Categorising the entire scene, e.g. birthday party or wedding scene
    • G06K9/00697—Outdoor scenes
    • G06K9/00704—Urban scenes
    • 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
    • G06T3/0068—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping
    • 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
    • G06T9/00—Image coding, e.g. from bit-mapped to non bit-mapped
    • G06T9/001—Model-based coding, e.g. wire frame
    • 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
    • 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
Li et al. Structure-slam: Low-drift monocular slam in indoor environments
Yan et al. 3D room layout estimation from a single RGB image
Fu et al. A robust RGB-D SLAM system with points and lines for low texture indoor environments
Torii et al. Are large-scale 3d models really necessary for accurate visual localization?
Henry et al. Patch volumes: Segmentation-based consistent mapping with rgb-d cameras
Quan et al. Accurate monocular visual-inertial SLAM using a map-assisted EKF approach
CN103646391A (en) Real-time camera tracking method for dynamically-changed scene
CN116662600B (en) Visual positioning method based on lightweight structured line map
Zheng et al. Buildingfusion: Semantic-aware structural building-scale 3d reconstruction
Gong et al. Planefusion: Real-time indoor scene reconstruction with planar prior
Cao et al. Parallel K nearest neighbor matching for 3D reconstruction
Pintore et al. Automatic modeling of cluttered multi‐room floor plans from panoramic images
Guo et al. Line-based 3d building abstraction and polygonal surface reconstruction from images
Hou et al. A high-quality voxel 3D reconstruction system for large scenes based on the branch and bound method
Ok et al. Simultaneous tracking and rendering: Real-time monocular localization for MAVs
Zhang et al. Dense 3d mapping for indoor environment based on feature-point slam method
Zhang et al. A stereo SLAM system with dense mapping
Liu et al. Online object-level SLAM with dual bundle adjustment
Yazdanpour et al. Manhattanfusion: Online dense reconstruction of indoor scenes from depth sequences
Li et al. BDLoc: Global localization from 2.5 D building map
Jiao et al. Leveraging local planar motion property for robust visual matching and localization
Jorissen et al. Robust global tracking using a seamless structured pattern of dots
Zhu et al. A Survey of Indoor 3D Reconstruction Based on RGB-D Cameras
Li et al. PLPR-SLAM: Indoor RGB-D SLAM Utilizing Point-Line-Plane Features
Chen et al. An End‐to‐End Robotic Visual Localization Algorithm Based on Deep Learning