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  • The thesis proposal deals with 3D object recognition and pose estimation in presence of occlusion and clutter. The task has major applications in robotics, including automatic object manipulation or autonomous mobile robots in urban search and rescue. Methods based on matching local invariant features have been the most successful in solving the task and currently constitute the state of the art. We identify separate subtasks actually being solved with feature-based methods and briefly survey state-of-the-art methods from the perspective of these subtasks. Our method dealing with the problem of non-uniform sampling density is presented and evaluated on a standard publicly available dataset. The main open problems are identified to serve as a basis for possible research directions.
  • The thesis proposal deals with 3D object recognition and pose estimation in presence of occlusion and clutter. The task has major applications in robotics, including automatic object manipulation or autonomous mobile robots in urban search and rescue. Methods based on matching local invariant features have been the most successful in solving the task and currently constitute the state of the art. We identify separate subtasks actually being solved with feature-based methods and briefly survey state-of-the-art methods from the perspective of these subtasks. Our method dealing with the problem of non-uniform sampling density is presented and evaluated on a standard publicly available dataset. The main open problems are identified to serve as a basis for possible research directions. (en)
Title
  • 3D Object Recognition and Pose Estimation - PhD Thesis Proposal
  • 3D Object Recognition and Pose Estimation - PhD Thesis Proposal (en)
skos:prefLabel
  • 3D Object Recognition and Pose Estimation - PhD Thesis Proposal
  • 3D Object Recognition and Pose Estimation - PhD Thesis Proposal (en)
skos:notation
  • RIV/68407700:21230/12:00200599!RIV13-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E10044), P(GAP103/10/1585)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 183430
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00200599
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • 3D object recognition; pose estimation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [079990DFF269]
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Petříček, Tomáš
http://localhost/t...ganizacniJednotka
  • 21230
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