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Visual object class recognition
Stark, M.; Schiele, B.; Leonardis, A. (2016). Visual object class recognition, in: Siciliano, B. et al. Springer handbook of robotics. pp. 825-840. https://dx.doi.org/10.1007/978-3-319-32552-1_33
In: Siciliano, B.; Khatib, O. (Ed.) (2016). Springer handbook of robotics. Second edition. Springer Verlag: Berlin. ISBN 978-3-319-32550-7; e-ISBN 978-3-319-32552-1. LXXVI, 2227 pp. https://dx.doi.org/10.1007/978-3-319-32552-1, more
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  • Stark, M.
  • Schiele, B.
  • Leonardis, A.
Abstract
    Object class recognition is among the most fundamental problems in computer vision and thus has been researched intensively over the years. This chapter is mostly concerned with the recognition and detection of basic level object classes such as cars, persons, chairs, or dogs. We will review the state of the art and in particular discuss the most promising methods available today.
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