1. 特征抽取层融合 3.1 特征抽取层融合的语种辨识模型 特征抽取层融合(Feature-level Fusion)就是在如图2 所 示的特征矢量部分对多种不同特征 …www.docin.com|基于1 个网页 例句 释义: 全部,特征抽取层融合 更多例句筛选 1. Image fusion can be divided into three levels, pixel level fusion, feature lev...
a确定适合的潮流计算方法是无功优化前的保证 The determination suitable tidal current computational method is the idle work optimizes before the guarantee [translate] afeature-level fusion of fingerprint and finger-vein for personal identification 指印和手指静脉的特点级融合为个人证明 [translate] ...
Feature-level fusionThe identification of individuals by their finger dorsal patterns has become a very active area of research in recent years. In this paper, we present a multimodal biometric personal identification system that combines the information extracted from the finger dorsal surface image ...
Top Abstract This chapter introduces the basis of feature level fusion and presents two feature level fusion examples. As the beginning, Section 13.1 provides an introduction to feature level fusion. Section 13.2 describes two classes of feature level fusion schemes. Section 13.3 gives a feature leve...
Fusion, Feature-Level.SynonymSynonymFeature FusionDefinitionDefinitionIn feature-level fusion, the feature sets originating from multiple biometric sources are consolidated into a single feature set by the application of adoi:10.1007/978-0-387-73003-5_157Arun RossSpringer USEncyclopedia of Biometrics...
A framework of FLF (feature-level fusion) is put forward based on subspace analyzes. While verifies that existing feature concatenating methods are instances of the framework, a parameter optimized model using KPCA (kernel principal components analyze) is presented and applied to the fusion of palmpr...
每日一词 | 特征级融合 Feature Level Image Fusion 原标题：《每日一词 | 特征级融合 Feature Level Image Fusion》
This paper investigates the possibility of the feature level fusion based on speaker verification. According to the robustness and availability of the relation measurement fusion framework,the feature level fusion based on speaker verification is established. Through comparison of performances among the feat...
An efficient 3D face recognition approach based on the fusion of novel local low-level feature We present a novel 3D face recognition approach based on low-level geometric features that are collected from the eyes-forehead and the nose regions. These... Y Lei,M Bennamoun,AA El-Sallam - 《...
The objective of this research is to investigate different fusion models that integrate aerial imagery with LiDAR data for landscape object extraction. Pixel- and feature-level fusions are particularly investigated in data- and user-driven scenarios to delineate a range of landscape objects on forest ...