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

Bajramovic et al., 2008 - Google Patents

Global Uncertainty-based Selection of Relative Poses for Multi Camera Calibration.

Bajramovic et al., 2008

View PDF
Document ID
10989830911261922405
Author
Bajramovic F
Denzler J
Publication year
Publication venue
BMVC

External Links

Snippet

Extrinsically calibrating a multi camera system from scene images is in general a very difficult problem. One promising approach uses pairwise relative poses as input. As a limited number of relative poses suffices, we propose automatically selecting only the most reliable …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • 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
    • 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
    • G06T7/00—Image analysis
    • 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
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • 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
    • 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
    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • 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
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/10—Geometric effects
    • G06T15/20—Perspective computation
    • 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
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • 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
    • 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
    • G06T11/00—2D [Two Dimensional] image generation
    • 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

Similar Documents

Publication Publication Date Title
US11003956B2 (en) System and method for training a neural network for visual localization based upon learning objects-of-interest dense match regression
Sattler et al. Are large-scale 3d models really necessary for accurate visual localization?
US10334168B2 (en) Threshold determination in a RANSAC algorithm
Concha et al. Using superpixels in monocular SLAM
Rogez et al. Mocap-guided data augmentation for 3d pose estimation in the wild
US10354129B2 (en) Hand gesture recognition for virtual reality and augmented reality devices
AU2013227985B2 (en) Backfilling points in a point cloud
Mastin et al. Automatic registration of LIDAR and optical images of urban scenes
US10254845B2 (en) Hand gesture recognition for cursor control
Strasdat et al. Double window optimisation for constant time visual SLAM
Arnold et al. Map-free visual relocalization: Metric pose relative to a single image
Choi et al. Depth analogy: Data-driven approach for single image depth estimation using gradient samples
CN110853075A (en) Visual tracking positioning method based on dense point cloud and synthetic view
US20200057778A1 (en) Depth image pose search with a bootstrapped-created database
da Silveira et al. Dense 3d scene reconstruction from multiple spherical images for 3-dof+ vr applications
Li et al. RGBD relocalisation using pairwise geometry and concise key point sets
Bu et al. Semi-direct tracking and mapping with RGB-D camera for MAV
Bajramovic et al. Global Uncertainty-based Selection of Relative Poses for Multi Camera Calibration.
JP2023056466A (en) Global positioning device and method for global positioning
Hausler et al. Reg-NF: Efficient registration of implicit surfaces within neural fields
Boittiaux et al. Homography-based loss function for camera pose regression
CN117333548A (en) Method, system and storage medium for estimating camera pose based on quasi-torus
CN113570535B (en) Visual positioning method, and related device and equipment
Laskar et al. Robust loop closures for scene reconstruction by combining odometry and visual correspondences
Hwang et al. 3D modeling and accuracy assessment-a case study of photosynth