Coarse-to-Fine Segmentation With Shape-Tailored Continuum Scale Spaces

N, Khan, B, Hong, A, Yezzi, G, Sundaramoorthi
CVPR, (2017)

Coarse-to-Fine Segmentation With Shape-Tailored Continuum Scale Spaces

Keywords

We formulate an energy for segmentation that is designed to have preference for segmenting the coarse over fine structure of the image, without smoothing across boundaries of regions

Abstract

We formulate an energy for segmentation that is designed to have preference for segmenting the coarse over fine structure of the image, without smoothing across boundaries of regions. The energy is formulated by integrating acontinuum of scales from a scale space computed from the heat equation within regions. We show that the energy can be optimized without computing a continuum of scales, but instead from asingle scale. This makes the method computationally efficient in comparison to energies

using a discrete set of scales. We apply our method to texture and motion segmentation. Experiments on benchmark datasets show that a continuum of scales leads to better segmentation accuracy over discrete scales and other competing methods.

Code

DOI:

Sources

Website PDF

See all publications 2017