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

Gaspar et al., 2007 - Google Patents

Toward robot perception through omnidirectional vision

Gaspar et al., 2007

View PDF
Document ID
6703508710076567826
Author
Gaspar J
Winters N
Grossmann E
Victor J
Publication year
Publication venue
Innovations in Intelligent Machines-1

External Links

Snippet

Vision is an extraordinarily powerful sense. The ability to perceive the environment allows for movement to be regulated by the world. Humans do this effortlessly but we still lack an understanding of how perception works. Our approach to gaining an insight into this …
Continue reading at www.researchgate.net (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
    • G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
    • G06K9/6211—Matching configurations of points or features, e.g. constellation matching
    • 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
    • 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
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • 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
    • 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
    • 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
    • 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
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/10—Geometric effects
    • G06T15/20—Perspective computation

Similar Documents

Publication Publication Date Title
Winters et al. Omni-directional vision for robot navigation
Won et al. Sweepnet: Wide-baseline omnidirectional depth estimation
US7680300B2 (en) Visual object recognition and tracking
Li et al. Automatic targetless LiDAR–camera calibration: a survey
Grant et al. Efficient Velodyne SLAM with point and plane features
Alizadeh Object distance measurement using a single camera for robotic applications
Nirmal et al. Homing with stereovision
Li et al. Indoor layout estimation by 2d lidar and camera fusion
Rituerto et al. Comparison of omnidirectional and conventional monocular systems for visual SLAM
Sharma Improved visual SLAM: a novel approach to mapping and localization using visual landmarks in consecutive frames
Gaspar Omnidirectional vision for mobile robot navigation
Kim et al. Selfsphnet: Motion estimation of a spherical camera via self-supervised learning
Pitzer et al. Automatic reconstruction of textured 3D models
Gaspar et al. Toward robot perception through omnidirectional vision
Taiana et al. Sample-Based 3D Tracking of Colored Objects: A Flexible Architecture.
Tu et al. SoK: Vehicle orientation representations for deep rotation estimation
Tahri et al. Non-central catadioptric cameras visual servoing for mobile robots using a radial camera model
Schubert et al. Towards camera based navigation in 3d maps by synthesizing depth images
Winters A holistic approach to mobile robot navigation using omnidirectional vision
Zhihui et al. Catadioptric omni-directional stereo vision and its applications in moving objects detection
Pal et al. Evolution of simultaneous localization and mapping framework for autonomous robotics—a comprehensive review
Hrustic et al. Quadric-based Traffic Sign Landmarks Initialization for Object-oriented EKF-SLAM
ARAUJO et al. Localization and Navigation with Omnidirectional Images
Ferdaus et al. Comparing global measures of image similarity for use in topological localization of mobile robots
Zhang et al. Key technologies of robot navigation based on machine vision: A review