Results 21 to 30 of about 1,916,086 (289)
Facial Expression Recognition via Non-Negative Least-Squares Sparse Coding
Information, 2014 Sparse coding is an active research subject in signal processing, computer vision, and pattern recognition. A novel method of facial expression recognition via non-negative least squares (NNLS) sparse coding is presented in this paper.
Ying Chen, Shiqing Zhang, Xiaoming Zhao
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A correspondence-based neural mechanism for position invariant feature processing [PDF]
, 2009 Poster presentation: Introduction We here focus on constructing a hierarchical neural system for position-invariant recognition, which is one of the most fundamental invariant recognition achieved in visual processing [1,2].
Jitsev, Evgueni +3 more
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Multiscale Reference-Aided Attentive Feature Aggregation for Person Re-Identification
IEEE Access, 2021 In person re-identification (Re-ID), increasing the diversity of pedestrian features can improve recognition accuracy. In standard convolutional neural networks (CNNs), the receptive fields of neurons in each layer are designed to have the same size ...
Li Xu, Xiang Fu
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No-Reference Image Quality Assessment Based on Edge Pattern Feature in the Spatial Domain
IEEE Access, 2021 This paper proposes a general-purpose no-reference image quality assessment (NR-IQA) method that investigates the image’s structure information from a new aspect, i.e., the characteristic of image edge profiles that depict the directional property
Wenting Shao, Xuanqin Mou
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SiamCCF: Siamese visual tracking via cross‐layer calibration fusion
IET Computer Vision, 2023 Siamese networks have attracted wide attention in visual tracking due to their competitive accuracy and speed. However, the existing Siamese trackers usually leverage a fixed linear aggregation of feature maps, which does not effectively fuse the ...
Si Chen +5 more
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ISPRS International Journal of Geo-Information, 2018 The extraction of activation vectors (or deep features) from the fully connected layers of a convolutional neural network (CNN) model is widely used for remote sensing image (RSI) representation.
Na Liu +4 more
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Image Recognition CAPTCHAs [PDF]
, 2004 CAPTCHAs are tests that distinguish humans from software robots in an online environment [3,14,7]. We propose and implement three CAPTCHAs based on naming images, distinguishing images, and identifying an anomalous image out of a set. Novel contributions include proposals for two new CAPTCHAs, the first user study on image recognition CAPTCHAs, and a ...
Monica Chew, J. D. Tygar
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One-Shot Distributed Generalized Eigenvalue Problem (DGEP): Concept, Algorithm and Experiments
Applied Sciences, 2022 This paper focuses on the design of a distributed algorithm for generalized eigenvalue problems (GEPs) in one-shot communication. Since existing distributed methods for eigenvalue decomposition cannot be applied to GEP, a general one-shot distributed GEP
Kexin Lv +4 more
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Compressively Sensed Image Recognition
, 2018 Compressive Sensing (CS) theory asserts that sparse signal reconstruction is possible from a small number of linear measurements. Although CS enables low-cost linear sampling, it requires non-linear and costly reconstruction. Recent literature works show
Aslan, Sinem +4 more
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Mask-Refined R-CNN: A Network for Refining Object Details in Instance Segmentation
Sensors, 2020 With the rapid development of flexible vision sensors and visual sensor networks, computer vision tasks, such as object detection and tracking, are entering a new phase.
Yiqing Zhang, Jun Chu, Lu Leng, Jun Miao
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