This paper describes an improved boosting algorithm, the MutualBoost algorithm, and its application in developing a fast and robust Gabor feature based face ...
This paper proposes a GroupMutual-Boost method, which can shorten the time required for learning and recognizing face features and use computing resources ...
The algorithm uses mutual information to eliminate redundancy among Gabor features selected using the AdaBoost algorithm. Selected Gabor features are then ...
People also ask
What is the learning approach for face recognition?
Which deep learning model is best for face recognition?
What is feature based face recognition?
Which method is used for face recognition?
Dive into the research topics of 'MutualBoost learning for selecting Gabor features for face recognition'. Together they form a unique fingerprint. Sort by ...
Oct 22, 2024 · A discriminative and robust feature - kernel enhanced informative Gabor feature is proposed in this paper for face recognition. Mutual ...
By using the proposed method, only hundreds of Gabor features are selected. Experiments on FERET database have shown that these hundreds of Gabor features are.
30-day returns
The Gabor wavelet transform is used to extract features which describe texture variations of human faces. The AdaBoost algorithm is used to select most ...
Missing: MutualBoost | Show results with:MutualBoost
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant.
Missing: MutualBoost | Show results with:MutualBoost
In this paper, we propose a face recognition method using AdaBoosted Gabor features, which are not only low dimensional but also discriminant.
A novel Gabor-kernel face recognition method is proposed in this paper. This involves convolving a face image with a series of Gabor wavelets at different ...