Fast tiered labeling with topological priors

Published

Journal Article

We consider labeling an image with multiple tiers. Tiers, one on top of another, enforce a strict vertical order among objects (e.g. sky is above the ground). Two new ideas are explored: First, under a simplification of the general tiered labeling framework proposed by Felzenszwalb and Veksler [1], we design an efficient O(KN) algorithm for the approximate optimal labeling of an image of N pixels with K tiers. Our algorithm runs in over 100 frames per second on images of VGA resolutions when K is less than 6. When K = 3, our solution overlaps with the globally optimal one by Felzenszwalb and Veksler in over 99% of all pixels but runs 1000 times faster. Second, we define a topological prior that specifies the number of local extrema in the tier boundaries, and give an O(NM) algorithm to find a single, optimal tier boundary with exactly M local maxima and minima. These two extensions enrich the general tiered labeling framework and enable fast computation. The proposed topological prior further improves the accuracy in labeling details. © 2012 Springer-Verlag.

Full Text

Duke Authors

Cited Authors

  • Zheng, Y; Gu, S; Tomasi, C

Published Date

  • October 30, 2012

Published In

Volume / Issue

  • 7575 LNCS / PART 4

Start / End Page

  • 587 - 601

Electronic International Standard Serial Number (EISSN)

  • 1611-3349

International Standard Serial Number (ISSN)

  • 0302-9743

Digital Object Identifier (DOI)

  • 10.1007/978-3-642-33765-9_42

Citation Source

  • Scopus