In this paper, we present the novel descriptors Pyramid local phase quantization (PLPQ). The effective of our proposed descriptor is evaluated by facial ...
The novel descriptors Pyramid local phase quantization (PLPQ), which extracts texture features in a pyramidal fashion only from the perceptual salient ...
Abstract. Facial expression recognition is a challenging and interesting problem. It has many potential and important applications in data-driven animation, ...
In this paper, we proposed a new feature descriptor, Local Principal Texture Pattern (LPTP), for expression recognition. We compute the LPTP feature, at each ...
4.2 Pyramid of Local Phase Quantization. In [16], Vo et al proposed a local descriptor called. Pyramid of Local Phase Quantization descriptor (PLPQ). PLPQ is ...
Mar 14, 2023 · We investigate the effect of using different histogram-based local feature extraction algorithms on the performance of the face recognition ...
Local Phase Quantization (LPQ) is a texture descriptor technique that extracts local phase details from short-term Fourier Transform calculations at each ...
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In this work, a novel local descriptor is proposed for video processing and applied to facial affect analysis. The proposed feature is based on histograms of ...
This paper proposes an effective feature extraction method based on an adaptive Gabor wavelet transform that can detect the most significant edges of facial ...
In our proposed method, four effective descriptors for facial expression representation, namely Local Binary Pattern (LBP), Local Phase Quantization (LPQ) ...