Recovering relative depth from low-level features without explicit T-junction detection and interpretation

DOI10.1007/S11263-013-0613-4zbMath1270.68343OpenAlexW2041283811MaRDI QIDQ361277

Felipe Calderero, Vincent Caselles

Publication date: 29 August 2013

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

Full work available at URL: https://doi.org/10.1007/s11263-013-0613-4

zbMATH Keywords

multi-scale analysislow-level image featuresmonocular depthrelative depth order

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Machine vision and scene understanding (68T45)

Related Items (2)

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Cites Work

• Recovering occlusion boundaries from an image
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• The dead leaves model: a general tessellation modeling occlusion
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