1 / 5

SLIC Superpixels compared to state-of-the-art methods

SLIC Superpixels compared to state-of-the-art methods. PAMI, vol. 34, no. 11, Nov 2012. Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua and Sabine Süsstrunk ETH Zürich, EPFL Lausanne. Procedures. NC05 - Normalized cuts, recursive graph partioning

barb
Download Presentation

SLIC Superpixels compared to state-of-the-art methods

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. SLIC Superpixels compared to state-of-the-art methods PAMI, vol. 34, no. 11, Nov 2012 Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua and Sabine Süsstrunk ETH Zürich, EPFL Lausanne Coffee Talk

  2. Procedures • NC05 - Normalized cuts, recursive graph partioning • GS04 – Local minimum spanning tree based (MST) • SL08 – Horizontal / vertical region splitting • GCa10 and GCb10 – Texture synthesis based region merging • MS02 - Mean Shift, old version • QS08 – Mean Shift, fast version • WS91 – Watershed • TP09 – TurboPixel: Level set based dilation • SLIC – Authors’ proposal Coffee Talk

  3. SLIC: Simple linear iterative clustering • Initialization by grid sampling, avoiding edges • Local k-mediod based on a distance measure combining spatial and feature (color) distances Coffee Talk

  4. Coffee Talk

  5. Coffee Talk

More Related