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Fingerprint. Dive into the research topics of 'Face representation and recognition with local curvelet patterns'. Together they form a unique fingerprint.
In this paper, we propose a new feature extraction approach for face recognition based on Curvelet transform and local binary pattern operator.
In this paper, we propose Learned Local Curvelet Patterns (LLCP) for presenting the local features of facial images. The proposed method is based on ...
In this paper, we propose Local Curvelet Binary Patterns (LCBP) and Learned Local Curvelet Patterns (LLCP) for presenting the local features of facial ...
Dec 1, 2012 · Each facial image can be encoded into multiple pattern maps and block-based histograms of these patterns are concatenated into an histogram ...
Face Representation and Recognition With Local Curvelet Patterns by Wei ZHOU, Alireza AHRARY, Sei-ichiro KAMATA published in IEICE Transactions on.
First, we observe that the curvelet transform is a new anisotropic multi-resolution transform and can efficiently represent edge discontinuities in face images, ...
In this paper, we propose a new feature extraction approach for face recognition based on Curvelet transform and local binary pattern operator.
Missing: Representation | Show results with:Representation
This paper proposes the use of the combination of digital curvelet transform and local binary patterns for recognizing facial expressions from still images.
Missing: Representation | Show results with:Representation
Xie, S., Shan, S., Chen, X., Meng, X., Gao, W.: Learned local gabor patterns for face representation and recognition. Signal Processing, 2333–2344 (2009)