Description of interest regions with local binary patterns

DOI10.1016/J.PATCOG.2008.08.014zbMath1181.68237OpenAlexW2172196609MaRDI QIDQ1005649

Matti Pietikäinen, Cordelia Schmid, Marko Heikkilä

Publication date: 9 March 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.08.014

zbMATH Keywords

object recognitionimage matchingSIFTlocal binary patternsregion descriptionregion detection

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (12)

Hardwood species classification with DWT based hybrid texture feature extraction techniques ⋮ A distributed framework for trimmed kernel \(k\)-means clustering ⋮ Two novel real-time local visual features for omnidirectional vision ⋮ Understanding and improving kernel local descriptors ⋮ Characterization of complex image spatial structures based on symmetrical Weibull distribution model for texture pattern classification ⋮ Local color oppugnant quantized extrema patterns for image retrieval ⋮ Quantitative evaluation of multiple-point simulations using image segmentation and texture descriptors ⋮ Image matching from handcrafted to deep features: a survey ⋮ Texture classification using the rotational-invariant local symmetric tetra pattern ⋮ Statistical model and local binary pattern based texture feature extraction in dual-tree complex wavelet transform domain ⋮ Two-dimensional strip spectral correlation algorithm to fast estimation of 2D-cyclic spectral function for texture analysis ⋮ Median arc center corrected binary pattern (MACCBP) for noise robust feature extraction

Uses Software

• PCA-SIFT
• SIFT
• SURF

Cites Work

• View-based recognition of real-world textures.
• Unnamed Item
• Unnamed Item

This page was built for publication: Description of interest regions with local binary patterns