rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Efficient Topology Estimation for Large Scale Optical Mapping
  name:
    name part: Elibol, Armagan.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Gracias, Nuno.
    role:
      role term: author.
  name:
    name part: Garcia, Rafael.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 88 p. online resource.
  abstract: Large scale optical mapping methods are in great demand among scientists who study different aspects of the seabed, and have been fostered by impressive advances in the capabilities of underwater robots in gathering optical data from the seafloor. Cost and weight constraints mean that low-cost ROVs usually have a very limited number of sensors. When a low-cost robot carries out a seafloor survey using a down-looking camera, it usually follows a predefined trajectory that provides several non time-consecutive overlapping image pairs. Finding these pairs (a process known as topology estimation) is indispensable to obtaining globally consistent mosaics and accurate trajectory estimates, which are necessary for a global view of the surveyed area, especially when optical sensors are the only data source. This book contributes to the state-of-art in large area image mosaicing methods for underwater surveys using low-cost vehicles equipped with a very limited sensor suite. The main focus has been on global alignment and fast topology estimation, which are the most challenging steps in creating large area image mosaics. This book is intended to emphasise the importance of the topology estimation problem and to present different solutions using interdisciplinary approaches opening a way to further develop new strategies and methodologies. .
  table of contents: Feature-Based Image Mosaicing -- New Global Alignment Method -- Combined ASKF-EKF Framework for Topology Estimation -- Topology Estimation using Bundle Adjustment -- Conclusions -- New Global Alignment Method -- Combined ASKF-EKF Framework for Topology Estimation -- Topology Estimation using Bundle Adjustment.
  note: by Armagan Elibol, Nuno Gracias, Rafael Garcia.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Robotics
  subject:
    topic: Automation
  subject:
    topic: Engineering
  subject:
    topic: Robotics and Automation
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Signal, Image and Speech Processing
  subject:
    topic: Computational Intelligence
  classification: TJ210.2-211.495
  classification: T59.5
  classification: 629.892
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Tracts in Advanced Robotics, 82
  identifier: 9783642303135
  identifier: http://dx.doi.org/10.1007/978-3-642-30313-5
  record info:
    record creation date: 120808
    record change date: 20151120220640.0
    record identifier: 978-3-642-30313-5