Results 21 to 30 of about 97,244 (288)
Multi-Modal Image Fusion via Sparse Representation and Multi-Scale Anisotropic Guided Measure
IEEE Access, 2020 The multi-modal image fusion plays an important role in various fields. In this paper, a novel multi-modal image fusion method based on robust principal component analysis (RPCA) is proposed, which consists of low-rank components fusion and sparse ...
Shuai Zhang +5 more
doaj +1 more source
Multi-modality Cascaded Fusion Technology for Autonomous Driving [PDF]
2020 4th International Conference on Robotics and Automation Sciences (ICRAS), 2020 Multi-modality fusion is the guarantee of the stability of autonomous driving systems. In this paper, we propose a general multi-modality cascaded fusion framework, exploiting the advantages of decision-level and feature-level fusion, utilizing target position, size, velocity, appearance and confidence to achieve accurate fusion results.
Kuang, Hongwu +3 more
openaire +2 more sources
Research and prospect of standard for biometric multi-modal fusion used with mobile devices
Dianxin kexue, 2021 Aiming at the problem of inconsistent biometric multi-modal fusion technology framework for mobile devices and lack of standards, a unified technical framework of multi-modal fusion standards was proposed.Firstly, the current status of standardization ...
Guanchen LIN, Zhifei WANG
doaj +2 more sources
Multi-Modal Domain Fusion for Multi-modal Aerial View Object Classification
, 2022 Object detection and classification using aerial images is a challenging task as the information regarding targets are not abundant. Synthetic Aperture Radar(SAR) images can be used for Automatic Target Recognition(ATR) systems as it can operate in all-weather conditions and in low light settings.
Udupa, Sumanth +2 more
openaire +2 more sources
Diagnostics, 2021 Parkinson’s disease (PD) is a common neurodegenerative disease that has a significant impact on people’s lives. Early diagnosis is imperative since proper treatment stops the disease’s progression. With the rapid development of CAD techniques, there have
Yin Dai +6 more
doaj +1 more source
Mutual Complementarity: Multi-Modal Enhancement Semantic Learning for Micro-Video Scene Recognition
IEEE Access, 2020 Scene recognition is one of the hot topics in micro-video understanding, where multi-modal information is commonly used due to its efficient representation ability.
Jie Guo, Xiushan Nie, Yilong Yin
doaj +1 more source
Citrus Huanglongbing Detection Based on Multi-Modal Feature Fusion Learning
Frontiers in Plant Science, 2021 Citrus Huanglongbing (HLB), also named citrus greening disease, occurs worldwide and is known as a citrus cancer without an effective treatment. The symptoms of HLB are similar to those of nutritional deficiency or other disease.
Dongzi Yang +13 more
doaj +1 more source
Multi-Modal Fusion by Meta-Initialization
, 2022 The first two authors contributed ...
Jackson, Matthew T. +3 more
openaire +2 more sources
Adaptive multi-modal fusion hashing via Hadamard matrix
Applied Intelligence, 2022 Hashing plays an important role in information retrieval, due to its low storage and high speed of processing. Among the techniques available in the literature, multi-modal hashing, which can encode heterogeneous multi-modal features into compact hash codes, has received particular attention.
Yu, Jun +3 more
openaire +2 more sources
Fuzzy Interval-Valued Multi Criteria Based Decision Making for Ranking Features in Multi-Modal 3D Face Recognition [PDF]
, 2017 Soodamani Ramalingam, 'Fuzzy interval-valued multi criteria based decision making for ranking features in multi-modal 3D face recognition', Fuzzy Sets and Systems, In Press version available online 13 June 2017.
Ramalingam, Soodamani
core +2 more sources