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Median Robust Extended Local Binary Pattern for Texture Classification
TLDR
We introduce a novel descriptor for texture classification, the median robust extended LBP (MRELBP). Expand
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BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification
TLDR
We propose a simple, efficient, yet robust multiresolution approach to texture classification-binary rotation invariant and noise tolerant (BRINT). Expand
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Texture Classification from Random Features
  • Li Liu, P. Fieguth
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1 March 2012
TLDR
Inspired by theories of sparse representation and compressed sensing, this paper presents a novel approach for texture classification based on random projection, suitable for large texture database applications. Expand
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Deep Learning for Generic Object Detection: A Survey
TLDR
A comprehensive survey of the recent achievements in the field of generic object detection brought about by deep learning techniques. Expand
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Extended local binary patterns for texture classification
TLDR
This paper presents a novel approach for texture classification, generalizing the well-known local binary pattern (LBP) approach. Expand
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Adaptive Wiener filtering of noisy images and image sequences
TLDR
We use adaptive weighted averaging (AWA) to estimate the second-order statistics required by the Wiener filter. Expand
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Multiresolution optimal interpolation and statistical analysis of TOPEX/POSEIDON satellite altimetry
TLDR
A recently developed multiresolution estimation framework offers the possibility of highly efficient statistical analysis, interpolation, and smoothing of extremely large data sets in a multiscale fashion. Expand
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Color-based tracking of heads and other mobile objects at video frame rates
TLDR
We develop a simple and very fast method for object tracking based exclusively on color information in digitized video images that possesses an explicit occlusion model. Expand
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Statistical Image Processing and Multidimensional Modeling
TLDR
Introduction.- Inverse problems.- Static estimation and sampling.- Dynamic estimation and sampled. Expand
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A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
TLDR
This paper presents the current state of practice of assessing the visual condition of vertical and horizontal civil infrastructure; in particular of reinforced concrete bridges, precast concrete tunnels, underground concrete pipes, asphalt pavements. Expand
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