Results 31 to 40 of about 1,916,086 (289)
Reinforced Palmprint Reconstruction Attacks in Biometric Systems
Sensors, 2022 Biometric signals can be acquired with different sensors and recognized in secure identity management systems. However, it is vulnerable to various attacks that compromise the security management in many applications, such as industrial IoT.
Yue Sun, Lu Leng, Zhe Jin, Byung-Gyu Kim
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Place recognition: An Overview of Vision Perspective
, 2018 Place recognition is one of the most fundamental topics in computer vision and robotics communities, where the task is to accurately and efficiently recognize the location of a given query image.
Chen, Yuming +4 more
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, 2017 Perception of image perceptions is one of the most important features of every person. With the help of our eyesight, we can perceive the world around us, acquiring information about our surroundings and recognize different objects in them. Thanks to the recipes of our eye, we can capture it clear information and transferred information to the brain ...
Adámek, Milan +4 more
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The Scientific World Journal, 2014 Human protein subcellular location prediction can provide critical knowledge for understanding a protein’s function. Since significant progress has been made on digital microscopy, automated image-based protein subcellular location classification is ...
Fan Yang, Ying-Ying Xu, Hong-Bin Shen
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Two-Level Wavelet-Based Convolutional Neural Network for Image Deblurring
IEEE Access, 2021 Image deblurring aims to restore the latent sharp image from the blurred one. In recent years, some learning-based image deblurring methods have achieved significant advances.
Yeyun Wu, Pan Qian, Xiaofeng Zhang
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Blur Invariants for Image Recognition
International Journal of Computer Vision, 2023 AbstractBlur is an image degradation that makes object recognition challenging. Restoration approaches solve this problem via image deblurring, deep learning methods rely on the augmentation of training sets. Invariants with respect to blur offer an alternative way of describing and recognising blurred images without any deblurring and data ...
Jan Flusser +4 more
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An Adaptative Reference Vector Based Evolutionary Algorithm for Many-Objective Optimization
IEEE Access, 2019 Recent studies have shown difficulties in balancing convergence and diversity for many-objective optimization problems with various types of Pareto fronts.
Junhua Li, Guoyu Chen, Ming Li, Hao Chen
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Improved Deep Multi-Patch Hierarchical Network With Nested Module for Dynamic Scene Deblurring
IEEE Access, 2020 Dynamic scene deblurring is a significant technique in the field of computer vision. The multi-scale strategy has been successfully extended to the deep end-to-end learning-based deblurring task.
Zunjin Zhao +3 more
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Ball-Scale Based Hierarchical Multi-Object Recognition in 3D Medical Images
, 2010 This paper investigates, using prior shape models and the concept of ball scale (b-scale), ways of automatically recognizing objects in 3D images without performing elaborate searches or optimization.
Bagci, Ulas +2 more
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Face recognition in hyperspectral images [PDF]
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003 Hyperspectral cameras provide useful discriminants for human face recognition that cannot be obtained by other imaging methods. We examine the utility of using near-infrared hyperspectral images for the recognition of faces over a database of 200 subjects. The hyperspectral images were collected using a CCD camera equipped with a liquid crystal tunable
Pan, Zhihong +3 more
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