Recovering occlusion boundaries from an image
type: Item
instance of: scholarly article
title: Recovering occlusion boundaries from an image
zbMATH Open document ID: 1235.68268
author: Derek Hoiem
author: Martial Hebert
author: Alyosha A. Efros
published in: International Journal of Computer Vision
publication date: 2012-04-12T00:00:00Z
Mathematics Subject Classification ID: 68T45
zbMATH DE Number: 6023230
zbMATH Keywords: image segmentation
zbMATH Keywords: occlusion boundaries
zbMATH Keywords: figure/ground labeling
zbMATH Keywords: image interpretation
zbMATH Keywords: scene understanding
zbMATH Keywords: 3D reconstruction
zbMATH Keywords: depth from image
zbMATH Keywords: edge detection
describes a project that uses: LabelMe
describes a project that uses: BSDS
describes a project that uses: PASCAL VOC
MaRDI profile type: Publication
full work available at URL: s11263-010-0400-4
OpenAlex ID: W2080920426
cites work: Probabilistic detection and tracking of motion boundaries
cites work: Logistic regression, AdaBoost and Bregman distances
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cites work: Q3174129
cites work: An algebraic approach to shape-from-image problems
cites work: CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation
DOI: 10.1007/S11263-010-0400-4
description: scientific article; zbMATH DE number 6023230