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Slic superpixels

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SLIC Superpixels - Université de Montréal

SLIC Superpixels - Université de Montréal

www.iro.umontreal.ca

superpixels evenly on image plane. Unlike WS91, superpixels from TP09 are con-strained to have uniform size, compactness, and adherence to object boundaries. 3 SLIC segmentation algorithm Our approach generates superpixels by clustering pixels based on their color similarity and proximity in the image plane. This is done in the ve-dimensional

  Slic superpixels, Slic, Superpixels

SURF: Speeded Up Robust Features - ETH Z

SURF: Speeded Up Robust Features - ETH Z

people.ee.ethz.ch

SURF: Speeded Up Robust Features Herbert Bay1, Tinne Tuytelaars2, and Luc Van Gool12 1 ETH Zurich {bay, vangool}@vision.ee.ethz.ch 2 Katholieke Universiteit Leuven {Tinne.Tuytelaars, Luc.Vangool}@esat.kuleuven.be Abstract. Inthispaper,wepresentanovelscale- androtation-invariant

  Surf

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