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A feature fusion method for feature extraction
SPIE Proceedings, 2012The automatic target recognition based on image fusion refers to the fusion process using the target images provided by a variety of sensors, so as to improve the recognition accuracy and robustness and to obtain better recognition performance.
Dejun Tang +3 more
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A feature fusion framework for hashing
2016 23rd International Conference on Pattern Recognition (ICPR), 2016A hash algorithm converts data into compact strings. In the multimedia domain, effective hashing is the key to large-scale similarity search in high-dimensional feature space. A limit of existing hashing techniques is that they typically use single features. In order to improve search performance, it is necessary to utilize multiple features.
I-Hong Jhuo +3 more
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2001
In this paper we present a new architecture for combining classifiers. This approach integrates learning into the voting scheme used to aggregate individual classifiers decisions. This overcomes the drawbacks of having static voting techniques. The focus of this work is to make the decision fusion a more adaptive process.
Nayer M. Wanas, Mohamed S. Kamel
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In this paper we present a new architecture for combining classifiers. This approach integrates learning into the voting scheme used to aggregate individual classifiers decisions. This overcomes the drawbacks of having static voting techniques. The focus of this work is to make the decision fusion a more adaptive process.
Nayer M. Wanas, Mohamed S. Kamel
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Feature++: Cross dimension feature fusion for road detection
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017Road detection is a key component of Advanced Driving Assistance Systems, which provides valid space and candidate regions of objects for vehicles. Mainstream road detection methods have focused on extracting discriminative features. In this paper, we propose a robust feature fusion framework, called “Feature++”, which is combined with superpixel ...
Wenli He +3 more
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Multimodal feature fusion for concreteness estimation
2022 25th International Conference on Information Fusion (FUSION), 2022In recent years the idea of fusing diverse type of information has often been employed to solve various Deep Learning tasks. Whether these regard an NLP problem or a Machine Vision one, the concept of using more inputs of the same type has been the basis of many studies.
Incitti F., Snidaro L.
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2009
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 level fusion example that fuses face and palm print.
David Zhang +3 more
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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 level fusion example that fuses face and palm print.
David Zhang +3 more
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Multiscale Feature Fusion for Face Identification
2017 3rd IEEE International Conference on Cybernetics (CYBCONF), 2017Over the past 20 years, information fusion has seen rapid development and has been used in many applications, including pattern recognition and computer vision. Multi-modal biometrics is one form of information fusion where biometric information from different modes of input (e.g., finger print, iris image, face image) is fused in order to achieve ...
Xin Wei 0002 +3 more
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