Efficient Closed-Form Solution to Generalized Boundary Detection
Venue
Proceedings of European Conference on Computer Vision (ECCV'12) (2012)
Publication Year
2012
Authors
Marius Leordeanu, Rahul Sukthankar, Crisitian Sminchisescu
BibTeX
Abstract
Boundary detection is essential for a variety of computer vision tasks such as
segmentation and recognition. We propose a unified formulation for boundary
detection, with closed-form solution, which is applicable to the localization of
different types of boundaries, such as intensity edges and occlusion boundaries
from video and RGB-D cameras. Our algorithm simultaneously combines low- and
mid-level image representations, in a single eigenvalue problem, and we solve over
an infinite set of putative boundary orientations. Moreover, our method achieves
state of the art results at a significantly lower computational cost than current
methods. We also propose a novel method for soft-segmentation that can be used in
conjunction with our boundary detection algorithm and improve its accuracy at a
negligible extra computational cost.
