Results 21 to 30 of about 12,998,590 (302)
Image Feature Extraction Using 2D Mel-Cepstrum [PDF]
, 2010 In this paper, a feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually applied to the Common Matrix ...
Çakır, Serdar +5 more
core +1 more source
Mel-cepstral Methods For Image Feature Extraction [PDF]
, 2010 A feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum which is widely used in speech recognition is extended to 2D in this article.
Çakır, Serdar +4 more
core +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
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
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
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Dynamic image-to-class warping for occluded face recognition
, 2014 Face recognition (FR) systems in real-world applications need to deal with a wide range of interferences, such as occlusions and disguises in face images.
Lei, Zhen +4 more
core +1 more source
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
doaj +1 more source