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Modern web applications can now provide rich and dynamic user experiences, such as allowing multiple users to collaboratively edit rich-text documents in real-time from multiple devices. Application architectures are evolving to support the development and deployment of such interactive functionality by decoupling software components into microservices. This paper introduces the architecture and the...
A novel active appearance model (AAM) search algorithm based on partial least squares (PLS) regression is proposed. PLS models the relationship between independent (texture residuals) and dependent (error in the model parameters) variables in the training phase by extracting from independent and dependent variables a set of orthogonal factors called latent variables respectively which have the maximum...
Reconstructing 3D face models from multiple uncalibrated 2D face images is usually done by using a single reference 3D face model or some gender/ethnicity-specific 3D face models. However, different persons, even those of the same gender or ethnicity, usually have significantly different faces in terms of their overall appearance, which forms the base of person recognition using faces. Consequently,...
The way to extract facial expression features from 3D face image is significant in 3D expression recognition. However, most of the feather extraction methods are based on geometric. In this paper, we extend a combined strategy for Local Binary Patterns (LBP) and Supervised Locality Preserving Projection (SLPP) in facial expression recognition. First, we use LBP to get the histogram of the image. Then...
The Partial Least Squares (PLS) algorithm has been widely applied in face recognition in recent years. However, all the improved algorithms of PLS did not utilize non-negativity and sparsity synchronously to improve the recognition accuracy and robustness. In order to solve these problems, this paper proposes a novel algorithm named Two-Dimension Non-negative Sparse Partial Least Squares (2DNSPLS),...
For benefiting from incorporating the class information, partial least squares (PLS) and its two dimension version (2DPLS) have been widely employed in face recognition when extracting principal components. However, currently popular statistic methods, such as principal component analysis (PCA) and linear discriminant analysis (LDA), only learn holistic, not parts-based, representations which ignore...
In face recognition multi-scales Gabor features contain a large amount of redundant information and the value of the features are different from each other. The paper proposes multi-scales Gabor uncertainty weighted fusion algorithm in face recognition, multi-scales Gabor features were used to show facial features firstly, and then weights and uncertainties were calculated to get the last facial feature...
We develop a framework based approach to extract and recognize hand gestures from the video sequence acquired by a dynamic camera, which could be a useful interface between humans and mobile robots. We use Human-Following Local Coordinate (HFLC) System, a very simple and stable method for extracting hand motion trajectories, which is obtained from the located human face and body part. Hand trajectory...
In this paper, a novel two-tier Bayesian based method is proposed for hair segmentation. In the first tier, we construct a Bayesian model by integrating hair occurrence prior probabilities (HOPP) with a generic hair color model (GHCM) to obtain some reliable hair seed pixels. These initial seeds are further propagated to their neighborhood pixels by utilizing segmentation results of mean shift, to...
Face occlusion is a common problem that occurs in applications that analyze images for faces, e.g. detection, tracking and recognition. The presence of occlusion can adversely affect such face processing algorithms. This paper proposes a solution to the problem: we attempt to remove the occlusion by considering it as a damaged part that needs to be regenerated. More precisely, our technique learns...
The eyes are the most important facial landmarks on human face, for both human computer communication and face normalization. It is crucial to detect and locate the eyes accurately. This paper introduces a novel and simple method for eye localization. Based on the special gray lever distribution in the eye region, the spectral residual model is exploited to extract the rough eye region primarily....
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