Feature Extraction

Visual information contained in images is usually represented by low-level feature descriptors focusing on different types of information, such as color, texture, and shape. An adequate feature descriptor is able to discriminate between regions with different characteristics and allows similar regions to be grouped together even when captured under noisy conditions. However, it is usually difficult to have a single feature descriptor adequate for many application domains; this has motivated researchers to develop a variety of feature extraction methods.

Softwares

 

  • Circular Center Symmetric-Pairs of Pixels (CCS-POP) available for download here.

Related Publications

Igor Leonardo Oliveira Bastos; Larissa Rocha Soares; William Robson Schwartz

Pyramidal Zernike Over Time: A spatiotemporal feature descriptor based on Zernike Moments Inproceedings

In: Iberoamerican Congress on Pattern Recognition (CIARP 2017), pp. 77-85, 2017.

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Rensso Victor Hugo Mora Colque; Carlos Antonio Caetano Junior; Matheus Toledo Lustosa de Andrade; William Robson Schwartz

Histograms of Optical Flow Orientation and Magnitude and Entropy to Detect Anomalous Events in Videos Journal Article

In: IEEE Transactions on Circuits and Systems for Video Technology, 27 (3), pp. 673-682, 2017.

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Carlos Antonio Caetano Junior; Jefersson A dos Santos; William Robson Schwartz

Optical Flow Co-occurrence Matrices: A Novel Spatiotemporal Feature Descriptor Inproceedings

In: IAPR International Conference on Pattern Recognition (ICPR), pp. 1-6, 2016.

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Ramon F Pessoa; William Robson Schwartz; Jefersson A dos Santos

A Study on Low-Cost Representations for Image Feature Extraction on Mobile Devices Inproceedings

In: 14th Iberoamerican Congress on Pattern Recognition (CIARP), pp. 1-8, 2015.

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Antonio Carlos Nazare Junior; Renato Ferreira; William Robson Schwartz

Scalable Feature Extraction for Visual Surveillance Inproceedings

In: Iberoamerican Congress on Pattern Recognition (CIARP), pp. 375-382, Springer International Publishing, 2014.

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F R de Siqueira; William Robson Schwartz; H Pedrini

Multi-Scale Gray Level Co-Occurrence Matrices for Texture Description Journal Article

In: Neurocomputing, pp. 1-10, 2013.

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E R Nascimento; G L Oliveira; M F M Campos; William Robson Schwartz

BRAND: A Robust Appearance and Depth Descriptor for RGB-D Images Inproceedings

In: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012.

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E R Nascimento; William Robson Schwartz; M F M Campos

EDVD - Enhanced Descriptor for Visual and Depth Data Inproceedings

In: IAPR International Conference on Pattern Recognition, 2012.

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E R Nascimento; William Robson Schwartz; G L Oliveira; A W Vieira; M F M Campos; D B Mesquita

Appearance and Geometry Fusion for Enhanced Dense 3D Alignment Inproceedings

In: Conference on Graphics, Patterns and Images, 2012.

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William Robson Schwartz; H Pedrini

Evaluation of Feature Descriptors for Texture Classification Journal Article

In: Journal of Electronic Imaging, 21 (2), pp. 1-17, 2012.

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R D da Silva; William Robson Schwartz; H Pedrini

Scalar Image Interest Point Detection and Description Based on Discrete Morse Theory and Geometric Descriptors Inproceedings

In: IEEE International Conference on Image Processing, 2012.

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J Choi; H Guo; William Robson Schwartz; L S Davis

A Complementary Local Feature Descriptor for Face Identification Inproceedings

In: IEEE Workshop on Applications of Computer Vision, pp. 121-128, 2012.

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William Robson Schwartz; R D da Silva; L S Davis; H Pedrini

A Novel Feature Descriptor Based on the Shearlet Transform Inproceedings

In: IEEE International Conference on Image Processing, pp. 1033-1036, 2011.

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