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Local Feature Descriptor for Image Matching: A Survey

Chengcai Leng, Hai Zhang, Bo Li, Guorong Cai, Zhao Pei, Li He
2019 IEEE Access  
The major goal of the paper is to present a unique survey of the state-of-the-art image matching methods based on feature descriptor, from which future research may benefit.  ...  Image registration is an important technique in many computer vision applications such as image fusion, image retrieval, object tracking, face recognition, change detection and so on.  ...  [18] studied a simple and powerful local descriptor called Weber Local Descriptor (WLD) which is based on the Weber's Law according to the perception of human beings.  ... 
doi:10.1109/access.2018.2888856 fatcat:rshfx326izcfdgk5ed6umit7wi

Predicting image credibility in fake news over social media using multi-modal approach

Bhuvanesh Singh, Dilip Kumar Sharma
2021 Neural computing & applications (Print)  
The proposed framework utilizes explicit convolution neural network model EfficientNetB0 for images and sentence transformer for text analysis.  ...  Hence, a multi-modal framework is employed utilizing visual and textual feature learning.  ...  Surf 50 Images from MICC-F2000 Acc 95% [18] Forensic (Copy&Move) MWLD Multiscale Weber's Law Descriptor CASIA 1.0 and CASIA 2.0 Acc 92.62 and 96.52% [19] Forensic (Copy&Move) FrQZMs  ... 
doi:10.1007/s00521-021-06086-4 pmid:34054227 pmcid:PMC8143443 fatcat:h2uxvbdyljgxhgneaidvzdle6i

Detection of Brain Tumor using KNN and LLOYED Clustering

2020 International Journal of Engineering and Advanced Technology  
Total twelve features are extracted like correlation, contrast, energy, homogeneity etc. by performing "wavelet transform on the converted gray scale image".  ...  For feature extraction DB5 wavelet transform is used.  ...  Through Weber's Law Operator, Background detection and Image enhancement are illustrated.  ... 
doi:10.35940/ijeat.c5374.029320 fatcat:rmndx2o6wfawtcfqilvsdkmk3y

Colour and Texture Descriptors for Visual Recognition: A Historical Overview

Francesco Bianconi, Antonio Fernández, Fabrizio Smeraldi, Giulia Pascoletti
2021 Journal of Imaging  
Specifically, we review geometric, differential, statistical and rank-based approaches.  ...  In this overview we retrace the key ideas and methods that have accompanied the evolution of colour and texture analysis over the last five decades, from the 'early years' to convolutional networks.  ...  image retrieval by linguistic queries [50] .  ... 
doi:10.3390/jimaging7110245 pmid:34821876 pmcid:PMC8622414 fatcat:2mqvb4nfkvfdlegwvqvbrczaz4

Texture Feature Extraction Methods: A Survey

Anne Humeau-Heurtier
2019 IEEE Access  
For each of these image processing procedures, first, it is necessary to extract-from raw images-meaningful features that describe the texture properties.  ...  ., for remote sensing) to segmentation (e.g., in biomedical imaging), passing through image synthesis or pattern recognition (e.g., for image inpainting).  ...  [101] used the Weber's law methods and proposed a multi-scale counting and difference representation (CDR).  ... 
doi:10.1109/access.2018.2890743 fatcat:4p4jhufs5vehdjtnbxmfiicc5u

Comparatives, Quantifiers, Proportions: A Multi-Task Model for the Learning of Quantities from Vision [article]

Sandro Pezzelle and Ionut-Teodor Sorodoc and Raffaella Bernardi
2018 arXiv   pre-print
We show that when information about lower-complexity tasks is available, the higher-level proportional task becomes more accurate than when performed in isolation.  ...  Moreover, the multi-task model is able to generalize to unseen combinations of target/non-target objects.  ...  We gratefully acknowledge the support of NVIDIA Corporation with the donation of GPUs used for this research.  ... 
arXiv:1804.05018v1 fatcat:62potjerrvhzxnw2qxhg6mj77y

Image Matching from Handcrafted to Deep Features: A Survey

Jiayi Ma, Xingyu Jiang, Aoxiang Fan, Junjun Jiang, Junchi Yan
2020 International Journal of Computer Vision  
Following the feature-based image matching pipeline, we first introduce feature detection, description, and matching techniques from handcrafted methods to trainable ones and provide an analysis of the  ...  Secondly, we briefly introduce several typical image matching-based applications for a comprehensive understanding of the significance of image matching.  ...  A Weber's law-based method (WLD) (Chen et al. 2009 ) has been studied to compute a histogram by encoding differential excitations and orientations at certain locations.  ... 
doi:10.1007/s11263-020-01359-2 fatcat:a2epfaolwjfm5mcrsmn7g6sd7m

Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision

Sandro Pezzelle, Ionut-Teodor Sorodoc, Raffaella Bernardi
2018 Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)  
We show that when information about lowercomplexity tasks is available, the higher-level proportional task becomes more accurate than when performed in isolation.  ...  Moreover, the multi-task model is able to generalize to unseen combinations of target/non-target objects.  ...  We gratefully acknowledge the support of NVIDIA Corporation with the donation of GPUs used for this research.  ... 
doi:10.18653/v1/n18-1039 dblp:conf/naacl/PezzelleSB18 fatcat:5zevbm4y7rfz5dvhnjqv56mat4

Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model

Shuang Mei, Yudan Wang, Guojun Wen
2018 Sensors  
This approach is used to reconstruct image patches with a convolutional denoising autoencoder network at multiple Gaussian pyramid levels and to synthesize detection results from the corresponding resolution  ...  The reconstruction residual of each image patch is used as the indicator for direct pixel-wise prediction.  ...  All the authors are grateful for the funding. In addition, the authors give particular thanks to the contributors to the Fabrics, KTC-TIPS, Kylberg Texture and TILDA databases.  ... 
doi:10.3390/s18041064 pmid:29614813 pmcid:PMC5948749 fatcat:6nlmwaroq5ez3kdalzlleymfly

Salient Region Detection by Fusing Foreground and Background Cues Extracted from Single Image

Qiangqiang Zhou, Weidong Zhao, Lin Zhang, Zhicheng Wang
2016 Mathematical Problems in Engineering  
Different from most previous methods which mainly utilize the contrast of low-level features, various feature maps are fused in a simple linear weighting form.  ...  Wherein the coarse saliency map is also fused by three components, the first is local contrast map which is in more accordance with the psychological law, the second is global frequency prior map, and  ...  Based on the implication of Weber's law, we must compute the two constituent parts of the WLD feature for each pixel in the input image: differential excitation and gradient orientation.  ... 
doi:10.1155/2016/2138747 fatcat:qrajb4tbxjdonmq5xsfc3ceswa

Local Jet Pattern: A Robust Descriptor for Texture Classification [article]

Swalpa Kumar Roy, Bhabatosh Chanda, Bidyut B. Chaudhuri, Dipak Kumar Ghosh, Shiv Ram Dubey
2018 arXiv   pre-print
Methods based on local image features have recently shown promise for texture classification tasks, especially in the presence of large intra-class variation due to illumination, scale, and viewpoint changes  ...  Finally, the feature vector of a texture region is formed by concatenating the histogram of LJP for all elements of LJV.  ...  [46] proposed a multiscale LBP based global fractal feature to solve the scale issue. But this feature is not robust for small sized images. Li et al.  ... 
arXiv:1711.10921v3 fatcat:k445joqrozfgfpggtfrxqxysh4

37th Annual Meeting of the Society for Mathematical Psychology

2005 Journal of Mathematical Psychology  
For exponential families, and more generally for dually flat manifolds, the divergence possess a (dual) Pythagorean relationship that is useful for giving geometric expression to maximum likelihood estimation  ...  An overview of the role of dual geometries in statistics is given, beginning with the classical result on the relative Fisher information loss of a statistic for summarizing a curved exponential family  ...  =x: Famagne's Psychophysical Law is a generalization of Weber's Law.  ... 
doi:10.1016/j.jmp.2004.08.002 fatcat:buxuwbxh7vdrppbqnuma7b5mje

A Critical Analysis on Perceptual Contrast and its Use in Visual Information Analysis and Processing

Azeddine Beghdadi, Muhammad Ali Qureshi, Seyed Ali Amirshahi, Aladine Chetouani, Marius Pedersen
2020 IEEE Access  
[133] used the DOG-based contrast from Tadmor and Tolhurst [64] (Section III-B14) in a multi-level approach inspired by Simone et al. [134] for image quality assessment.  ...  image retrieval, visualization and tone mapping techniques as suggested in [48] .  ... 
doi:10.1109/access.2020.3019350 fatcat:ycpakdyymbhodcmspesiq74lne

Comparative Evaluation of Hand-Crafted Image Descriptors vs. Off-the-Shelf CNN-Based Features for Colour Texture Classification under Ideal and Realistic Conditions

Raquel Bello-Cerezo, Francesco Bianconi, Francesco Di Maria, Paolo Napoletano, Fabrizio Smeraldi
2019 Applied Sciences  
In this work, we evaluate the effectiveness of traditional, hand-crafted descriptors against off-the-shelf CNN-based features for the classification of different types of colour textures under a range  ...  By contrast, hand-crafted descriptors were better at discriminating stationary textures under steady imaging conditions and proved more robust than CNN-based features to image rotation.  ...  content-based image retrieval and many others.  ... 
doi:10.3390/app9040738 fatcat:w3dzz267ljhgrl3tjrya7etzyq

Conference Guide [Front matter]

2020 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)  
For further highlighting the texture features, a Weber's law based approach is used to extend the considered multifractal measure and generate new alpha patches.  ...  This paper presents a novel convolutional neural network (CNN) architecture for image steganalysis.  ...  In this paper we investigate the resilient consensus problem for multi-agent systems under the specific attack scenarios where the attacker can eavesdrop on initial information of agents among the system  ... 
doi:10.1109/icarcv50220.2020.9305477 fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi
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