[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Hielsberg et al., 2013 - Google Patents

Visibility-based urban exploration and learning using point clouds

Hielsberg et al., 2013

View PDF
Document ID
7674459436506696294
Author
Hielsberg M
Tsai R
Guo P
Chen C
Publication year
Publication venue
Under review

External Links

Snippet

We present an integrated algorithm for computing vantage points of maximal visibility in an a priori unknown fully 3D environment using point clouds and a multi-resolution Hausdorff metric based surface reconstruction procedure. This work aims at demonstrate the proposed …
Continue reading at ww3.math.ucla.edu (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models
    • 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
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • 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
    • G06T7/00Image analysis
    • 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
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • 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
    • G06T15/003D [Three Dimensional] image rendering
    • G06T15/10Geometric effects
    • G06T15/20Perspective computation
    • 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
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation

Similar Documents

Publication Publication Date Title
Xiao et al. Street environment change detection from mobile laser scanning point clouds
JP2021534495A (en) Mapping object instances that use video data
WO2018138516A1 (en) Apparatus, method, and system for alignment of 3d datasets
US20140132733A1 (en) Backfilling Points in a Point Cloud
US9286539B2 (en) Constructing contours from imagery
Özdemir et al. A multi-purpose benchmark for photogrammetric urban 3D reconstruction in a controlled environment
GB2610410A (en) Incremental dense 3-D mapping with semantics
Cai et al. Occupancy grid mapping without ray-casting for high-resolution LiDAR sensors
Zhou 3D urban modeling from city-scale aerial LiDAR data
Hielsberg et al. Visibility-based urban exploration and learning using point clouds
Berquin et al. A physics perspective on lidar data assimilation for mobile robots
Ruhnke et al. Unsupervised learning of compact 3d models based on the detection of recurrent structures
Cui et al. A Review of Indoor Automation Modeling Based on Light Detection and Ranging Point Clouds.
Zhang et al. An improvement algorithm for OctoMap based on RGB-D SLAM
Hielsberg et al. ICES REPORT 13-06
Ceriani et al. Single and multi camera simultaneous localization and mapping using the extended kalman filter: On the different parameterizations for 3d point features
Hesami et al. Range segmentation of large building exteriors: A hierarchical robust approach
Munguía et al. Method for SLAM Based on Omnidirectional Vision: A Delayed‐EKF Approach
Zou et al. Scene flow for 3D laser scanner and camera system
Pirker et al. Histogram of Oriented Cameras-A New Descriptor for Visual SLAM in Dynamic Environments.
Li et al. Activesplat: High-fidelity scene reconstruction through active gaussian splatting
Mützel et al. Geometric features for robust registration of point clouds
Hastürk Real time dense SLAM in unstructured dynamic cluttered 3D environments
Antić et al. Segmentation of Stereo-Camera Depth Image into Planar Regions based on Evolving Principal Component Clustering
Jenco Virtual LiDAR error models in point cloud compression