[go: up one dir, main page]

López-Nicolás et al., 2014 - Google Patents

Spatial layout recovery from a single omnidirectional image and its matching-free sequential propagation

López-Nicolás et al., 2014

View PDF
Document ID
2036346535736032813
Author
López-Nicolás G
Omedes J
Guerrero J
Publication year
Publication venue
Robotics and Autonomous Systems

External Links

Snippet

The goal of this work is to recover the spatial layout of indoor environments from omnidirectional images assuming a Manhattan world structure. We propose a new method for scene structure recovery from a single image. This method is based on the line extraction …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20Image acquisition
    • G06K9/32Aligning or centering of the image pick-up or image-field
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0068Geometric 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/003D [Three Dimensional] image rendering
    • G06T15/10Geometric effects
    • G06T15/20Perspective computation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING

Similar Documents

Publication Publication Date Title
Strasdat et al. Double window optimisation for constant time visual SLAM
Mur-Artal et al. Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras
Yang et al. Pop-up slam: Semantic monocular plane slam for low-texture environments
Dame et al. Second-order optimization of mutual information for real-time image registration
US7616807B2 (en) System and method for using texture landmarks for improved markerless tracking in augmented reality applications
Henry et al. RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments
Liu et al. Indoor localization and visualization using a human-operated backpack system
Gao et al. Robust RGB-D simultaneous localization and mapping using planar point features
Zhao et al. OFM‐SLAM: A Visual Semantic SLAM for Dynamic Indoor Environments
Sahili et al. A survey of visual SLAM methods
Hayet et al. A visual landmark framework for mobile robot navigation
Feng et al. Plane registration leveraged by global constraints for context‐aware AEC applications
López-Nicolás et al. Spatial layout recovery from a single omnidirectional image and its matching-free sequential propagation
Zuo et al. Cross-modal Semidense 6-DOF tracking of an event camera in challenging conditions
Feng et al. VIMOT: A tightly coupled estimator for stereo visual-inertial navigation and multiobject tracking
Liu et al. Hybrid metric-feature mapping based on camera and Lidar sensor fusion
Shan et al. A brief survey of visual odometry for micro aerial vehicles
Shewail et al. Survey of indoor tracking systems using augmented reality
Taketomi et al. Real-time and accurate extrinsic camera parameter estimation using feature landmark database for augmented reality
Tamaazousti et al. The constrained SLAM framework for non-instrumented augmented reality: Application to industrial training
Hu et al. Multiple maps for the feature-based monocular SLAM system
Zi et al. An enhanced visual slam supported by the integration of plane features for the indoor environment
Simon Automatic online walls detection for immediate use in AR tasks
Wientapper et al. Composing the feature map retrieval process for robust and ready-to-use monocular tracking
Pears et al. Mobile robot visual navigation using multiple features