Results 21 to 30 of about 282,565 (268)
Multi-View Joint Learning and BEV Feature-Fusion Network for 3D Object Detection
Applied Sciences, 2023 Traditional 3D object detectors use BEV (bird’s eye view) feature maps to generate 3D object proposals, but in a single BEV feature map, there are inevitably the problems of high compression and information loss. To solve this problem, we propose a multi-
Qunming Liu +4 more
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Enhancement via fusion of mammographic features
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002 Image enhancement in mammography is typically concerned with either general visibility of all features or conspicuity of a specific sign of malignancy. We describe a synthesis of the two approaches through fusion of locally enhanced microcalcifications, circumscribed masses, and stellate lesions.
Koren, Iztok +2 more
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Merging-Squeeze-Excitation Feature Fusion for Human Activity Recognition Using Wearable Sensors
Applied Sciences, 2023 Human activity recognition (HAR) has been applied to several advanced applications, especially when individuals may need to be monitored closely. This work focuses on HAR using wearable sensors attached to various locations of the user body.
Seksan Laitrakun
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Bloch’s law and the dynamics of feature fusion
Vision Research, 2007 How the visual brain integrates temporally dispersed information is an open question. Often, it is assumed that the visual system simply sums light over a certain period of time (e.g. Bloch's law). However, in feature fusion, information presented later dominates, suggesting complex temporal dynamics that cannot be described by simple energy summation.
Scharnowski, Frank +2 more
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A Study on the Performance Enhancement of Radar Target Classification Using the Two-Level Feature Vector Fusion Method [PDF]
Journal of the Korean Institute of Electromagnetic Engineering and Science, 2018 In this paper, we proposed a two-level feature vector fusion technique to improve the performance of target classification. The proposed method combines feature vectors of the early-time region and late-time region in the first-level fusion.
In-Ha Kim, In-Sik Choi, Dae-Young Chae
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Cross Spectral and Spatial Scale Non-local Attention-Based Unsupervised Pansharpening Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Pansharpening means fusing the low spatial resolution multispectral image (LRMSI) and the panchromatic (PAN) image to get the high resolution multispectral image (HRMSI).
Shuangliang Li +4 more
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Face and ear fusion template protection based on fuzzy vaults
工程科学学报, 2015 Due to biological characteristic similarity in image acquisition and physiological complementarity of the face and the ear, a face and ear multimodal fusion template protection method was proposed, in which the face and the ear were combined in the ...
YUAN Li, LI Wen-ming
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New Feature-level Algorithm for a Face-fingerprint Integral Multi-biometrics Identification System
UHD Journal of Science and Technology, 2022 This article delves into the power of multi-biometric fusion for individual identification. a new feature-level algorithm is proposed that is the Dis-Eigen algorithm.
Bayan Omar +3 more
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DCA‐based unimodal feature‐level fusion of orthogonal moments for Indian sign language dataset
IET Computer Vision, 2018 Sign language recognition system classifies signs made by hand gestures. An adequate number of features are required to represent the shape variations of sign language. As compared to individual feature set, a combination of features can be effective due
Garima Joshi, Renu Vig, Sukhwinder Singh
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FPNFuse: A lightweight feature pyramid network for infrared and visible image fusion
IET Image Processing, 2022 A novel deep learning structure of infrared and visible image fusion is proposed. In particular, feature pyramid networks are developed for enhanced feature extraction across multiple convolutional layers.
Zi‐Han Zhang +2 more
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