Integrating geometrical context for semantic labeling of indoor scenes using RGBD images

DOI10.1007/s11263-015-0843-8zbMath1398.68584OpenAlexW832272354WikidataQ62790052 ScholiaQ62790052MaRDI QIDQ1800033

Roberto Togneri, Salman H. Khan, Mohammed Bennamoun, Imran Naseem, Ferdous A. Sohel

Publication date: 19 October 2018

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://api.research-repository.uwa.edu.au/ws/files/17309902/Full_publication.pdf

zbMATH Keywords

geometric reasoninggraphical modelsstructured learningscene parsing

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Related Items (1)

Mirrored conditional random field model for object recognition in indoor environments

Uses Software

• WEKA
• GrabCut
• SIFT
• KinectFusion
• NYU Depth
• PyDenseCRF

Cites Work

• Inference methods for CRFs with co-occurrence statistics
• Cutting-plane training of structural SVMs
• Efficient graph-based image segmentation
• The estimation of the gradient of a density function, with applications in pattern recognition
• Random forests
• Unnamed Item
• Unnamed Item

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