Results 31 to 40 of about 5,057,517 (289)
IEEE Access, 2021 Defect detection in the manufacturing industry is of utmost importance for product quality inspection. Recently, optical defect detection has been investigated as anomaly detection using different deep learning methods.
Ammar Mansoor Kamoona +3 more
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Video Logo Retrieval based on local Features
, 2020 Estimation of the frequency and duration of logos in videos is important and challenging in the advertisement industry as a way of estimating the impact of ad purchases.
Guan, Bochen +3 more
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Cross-Domain Person Re-Identification Based on Feature Fusion
IEEE Access, 2021 Person re-identification (ReID) is one of the commonly used criminal investigation methods in reconnaissance. Although the current ReID has achieved robust results on single domains, the focus of researches has shifted to cross-domain in recent years ...
Xianjun Luo +4 more
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On the local features of the Sargatka Culture settlements in the Tobol River basin (based on pottery complex of the Rafailovo settlement) [PDF]
Вестник археологии, антропологии и этнографииThe article is concerned with the problem of determination of local variants of the Early Iron Age Sargatka Culture in Western Siberian forest-steppe.
Prokonova M.M., Matveeva N.P.
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3D face recognition: A comprehensive survey in 2022
Computational Visual Media, 2023 In the past ten years, research on face recognition has shifted to using 3D facial surfaces, as 3D geometric information provides more discriminative features. This comprehensive survey reviews 3D face recognition techniques developed in the past decade,
Yaping Jing, Xuequan Lu, Shang Gao
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Genetic‐based feature fusion in face recognition using arithmetic coded local binary patterns
IET Image Processing, 2020 Local binary patterns (LBPs) are one of the attempts for gathering local features with face recognition algorithms. Although the application of LBP's in many recognition contents is too apparent, these methods have limited accuracy because of their ...
Saeed Najafi Khanbebin, Vahid Mehrdad
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Using local temporal features of bounding boxes for walking/running classification [PDF]
, 2008 For intelligent surveillance, one of the major tasks to achieve is to recognize activities present in the scene of interest. Human subjects are the most important elements in a surveillance system and it is crucial to classify human actions.
Erdogan, Hakan +3 more
core +1 more source
IET Intelligent Transport Systems, 2020 The legibility of traffic signs has been considered from the beginning of design, and traffic signs are easy to identify for humans. For computer systems, however, identifying traffic signs still poses a challenging problem.
Zhenli He +4 more
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Directional Neighborhood Topologies Based Multi-Scale Quinary Pattern for Texture Classification
IEEE Access, 2020 This paper ideates a new computationally simple and effective local image feature descriptor, referred to as Directional Neighborhood Topologies based Multi-scale Quinary Pattern (DNT-MQP) for texture description and classification.
Elmokhtar Rachdi +3 more
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Compressive sensing with local geometric features [PDF]
Proceedings of the twenty-seventh annual symposium on Computational geometry, 2011 We propose a framework for compressive sensing of images with local distinguishable objects, such as stars, and apply it to solve a problem in celestial navigation. Specifically, let x ∈ ℝNbe an N pixel image, consisting of a small number of local distinguishable objects plus noise.
Gupta, Rishi V. +3 more
openaire +4 more sources