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Dahlem Center for Machine Learning and Robotics

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  • Efficient Superpixel Creation in High-resolution Images by Applying a PLANT

Jan Draegert:

Efficient Superpixel Creation in High-resolution Images by Applying a PLANT

Kurzbeschreibung

Autonomous robots attempt to understand their environment in real-time. The data structure PLANT, which this thesis introduces, segments large amounts of data efficiently. To detect homogeneous image regions fast, a PLANT combines an integral image with a binary search. Beyond that, a PLANT-based vision for soccer-playing robots is presented. It enables the robots to perceive their environment with a camera resolution of 1920×1080 pixels at a frame rate of 30 Hz. For superpixel creation, the algorithms _PLANT and _PLANTm are introduced. The time complexities of _PLANT and _PLANTm are O(n + k·log(n)) and O(n + k·log(n) + k^^2), where n is the number of pixels and k the number of superpixels. PLANT-based algorithms benefit from the spatial locality of reference, which results in a high speed-up.

 

Betreuer
Daniel Göhring, Raúl Rojas
Abschluss
Master of Science (M.Sc.)
Abgabedatum
14.07.2017
Sprache
eng

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  • Masterarbeit Jan Draegert
be-digital Pressekonferenz am 07.12.15Mexico Oktober 2015MiG Mexico 2015Finalisten German Open 2014Simulator-Erfinder: Professor Raul Rojas (l.) und David Dormagen von der AG Intelligente Systeme und RobotikMadeInGermany in MexicoThe Tony Sale Award winners 2014: Robert B Garner (L) and  Raul Rojas (R), Nov. 2014Able und BakerCarolo-Cup-Team2014Formalisierung und Automatisierung von Gödels GottesbeweisAutoNOMOS-Team 2011Besuch Senatorin Yzer am 22.03.13Die autonomen Fahrzeuge der AG Intelligente Systeme und RobotikArchaeocopterMulticopterEntwicklung einer Roboterbiene

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