Interactive Multi-label Segmentation of RGB-D Images

DOI10.1007/978-3-319-18461-6_24zbMath1453.94005OpenAlexW2274241049MaRDI QIDQ3300309

Michael Moeller, Nikolaus Demmel, Daniel Cremers, Caner Hazırbaş, Julia Diebold

Publication date: 28 July 2020

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-18461-6_24

zbMATH Keywords

total variationinteractive segmentationRGB-D imagesmulti-label segmentationspatially varying color distributions

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• GrabCut
• iCoseg
• NYU Depth

Cites Work

• Unnamed Item
• Random exploration of the procedural space for single-view 3D modeling of buildings
• A first-order primal-dual algorithm for convex problems with applications to imaging
• A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
• Computer Vision - ECCV 2004

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