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Multi-modal speaker recognition has received a lotof attention in recent years due to the growing security demands in real applications. In this paper, we present an efficient audio-visual speaker recognition method by fusing face and audio via the multi-modal correlated neural networks. Within our proposed approach, the facial features learned by convolutional neural networks are compatible with...
Facial pose grouping plays an important role in the video face recognition. In this paper, we present an unsupervised facial pose grouping approach via Garbor subspace affinity and self-tuning spectral clustering. First, we utilize the local normalization method to reduce the impact of uneven illuminations, and then extract the discriminative appearance features via Gabor wavelet representation. Next,...
This paper presents an MAP-MRF (i.e. maximum a posteriori — Markov random field) based image segmentation method to achieve stable performance without knowing the true segment number in advance. Specifically, we firstly assign the segment number a value greater than or equal to the ground truth. Subsequently, cluster centroid of each segment in observation space is initialized randomly so that each...
Lip tracking is crucial to the success of a lipreading recognition system. This paper presents a robust lip tracking algorithm using localized color active contours and deformable models. The proposed approach utilizes a combined semi-ellipse as the initial evolving curve and computes the localized energies in color space for evolving such that a separation of the original lip image into lip and non-lip...
Lip contour extraction is crucial to the success of a lipreading system. This paper presents a lip contour extraction algorithm using localized active contour model with the automatic selection of proper parameters. The proposed approach utilizes a minimum-bounding ellipse as the initial evolving curve to split the local neighborhoods into the local interior region and the local exterior region, respectively,...
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