Results 11 to 20 of about 1,925,447 (292)
Iris Recognition: The Consequences of Image Compression [PDF]
, 2010 Iris recognition for human identification is one of the most accurate biometrics, and its employment is expanding globally. The use of portable iris systems, particularly in law enforcement applications, is growing.
Belcher, Craig +3 more
core +3 more sources
Graph Regularized Within-Class Sparsity Preserving Projection for Face Recognition
Information, 2015 As a dominant method for face recognition, the subspace learning algorithm shows desirable performance. Manifold learning can deal with the nonlinearity hidden in the data, and can project high dimensional data onto low dimensional data while preserving
Songjiang Lou +3 more
doaj +1 more source
Person Re-Identification Based on DropEasy Method
IEEE Access, 2019 Currently, majority of person re-identification (reID) technologies are network-constrained by Dropout regularization, which relies on the random zeroing out of some features to make these features more independent.
Huiyang Wang +3 more
doaj +1 more source
A scale-adaptive object-tracking algorithm with occlusion detection
EURASIP Journal on Image and Video Processing, 2020 The methods combining correlation filters (CFs) with the features of convolutional neural network (CNN) are good at object tracking. However, the high-level features of a typical CNN without residual structure suffer from the shortage of fine-grained ...
Yue Yuan +4 more
doaj +1 more source
MemBrain: An Easy-to-Use Online Webserver for Transmembrane Protein Structure Prediction
Nano-Micro Letters, 2017 Membrane proteins are an important kind of proteins embedded in the membranes of cells and play crucial roles in living organisms, such as ion channels, transporters, receptors.
Xi Yin +4 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
CONFIGR: A Vision-Based Model for Long-Range Figure Completion [PDF]
, 2007 CONFIGR (CONtour FIgure GRound) is a computational model based on principles of biological vision that completes sparse and noisy image figures. Within an integrated vision/recognition system, CONFIGR posits an initial recognition stage which identifies
Carpenter, Gail A. +2 more
core +2 more sources
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
doaj +1 more source