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Differentiating posed expressions from spontaneous ones is a more challenging task than conventional facial expression recognition. There are many methods proposed to differentiate posed and spontaneous expressions based on pixel level information. However, these methods still have some limitations : (1) Most of the studies use the difference between onset (the early stages of an expression) and apex...
In this paper, we propose a new deep learning method called Deep PCA (DPCA) for face recognition. Our method performs deep learning through hierarchically projecting face image vectors to different feature subspaces and obtaining the representations from different projections. Specifically, we perform a two-layer ZCA whitening plus PCA structure for learning hierarchical features. The whole feature...
Face image based age estimation is an approach to classify face images into one of several pre-defined age-groups. It is challenging because the aging variation is specific to a given individual and is determined by not only the person's gene, but also by many external factors, such as exposure, weather conditions (e.g. ambient humidity), health, gender, living style and living location. Age categorization...
In this paper, we propose a new multiview discriminative learning (MDL) method for age-invariant face recognition, which is a challenging and important problem in many practical face recognition systems. Motivated by the fact that local appearance features are more robust to age variations, we first extract three different local feature descriptors including scale invariant feature transform (SIFT),...
We propose in this paper a multilinear locality preserving canonical correlation analysis (MLPCCA) method for face recognition. Motivated by the fact that both spatial structure information within each face sample and local geometry information among multiple face samples are useful for facial image feature extraction, we utilize them simultaneously and derive an improved canonical correlation analysis...
As XML is playing a crucial role in web services, databases, and document processing, efficient processing of XML queries has become an important issue. On the other hand, due to the increasing number of users, high throughput of XML queries is also required to execute tens of thousands of queries in a short time. Given the great success of GPGPU (General-Purpose computations on the Graphics Processors),...
In this paper, we present a home-monitoring oriented human activity recognition benchmark database, based on the combination of a color video camera and a depth sensor. Our contributions are two-fold: 1) We have created a publicly releasable human activity video database (i.e., named as RGBD-HuDaAct), which contains synchronized color-depth video streams, for the task of human daily activity recognition...
ESB (Enterprise Service Bus) is a product combined with traditional middleware technology,XML,Web services and so on.ESB is the most essential element of constructing enterprise information system, and also the most basic network connection main center in the future. Through practicing a example of data transformation with Oracle ESB ,this article will analyze the mainly operation mechanism about...
Facial age classification is an approach to classify face images into one of several predefined age groups. One of the difficulties in applying learning techniques to the age classification problem is the large amount of labeled training data required. Acquiring such training data is very costly in terms of age progress, privacy, human time, and effort. Although unlabeled face images can be obtained...
In this paper, a novel face representation in terms of dense local image descriptors is proposed. Scale Invariant Feature Transform (SIFT) and Gabor, two of the most popular local image descriptors, at dense grid pixels of a face image are used to represent the face. The efficiency of the representation has been investigated in gender recognition. There are four problems when applying the SIFT to...
Aiming at the demand of mining target from a mass of battlefield video, a mining method based on key frames is discussed. Firstly, the key frames are extracted from battlefield video through content-based video retrieval process. Then, target recognition of key frames is done to mine the target message. The practical calculation shows the mining method is feasible.
The increasing penetration rates of high speed broadband networks have infused strong impetus for IPTV adoption and usage. One of the more intriguing possibilities of personalizing the IPTV experience is to install automated age classification capabilities onto a display set. This allows the detection, by vision-based methods, of the demographic profile of the IPTV user and automatically suggest or...
In this paper, we propose a novel face representation in which a face is represented in terms of dense Scale Invariant Feature Transform (d-SIFT) and shape contexts of the face image. The application of the representation in gender recognition has been investigated. There are four problems when applying the SIFT to facial gender recognition. (1) There may be only a few keypoints that can be found...
In image-based face profiling classification, face alignment, which transforms the face images in order that the 2D coordinates of the facial features are consistent with each other, is considered as an important preprocessing step before the actual classification to maximize classification accuracy. Unfortunately, accurate face alignment is a time-consuming process and a challenging problem especially...
Face image based age categorization is an approach to classify face images into one of several pre-defined age-groups. It is challenging because the aging variation is specific to a given individual and is determined by not only the person's gene, but also by many external factors, such as exposure, weather conditions (e.g. ambient humidity), health, gender, living style and living location. Age categorization...
Although geographic information systems (GISystems) have been widely used in both public and private sectors, geographic information is still not effectively used by common citizens for their everyday's life. A metropolitan spatial service infrastructure (MSSI) is a new vision to build a societal GIS allowing every citizen to create, share, and use geographic information and services. We propose our...
The issue of how to represent the palm features for effective classification is still an open problem. In this paper, we propose a novel palm representation, the "junction points" (JP) set, which is formed by the two set of line segments extracted from the registered palmprint and palm vein images respectively. Unlike the existing approaches, the JP set, containing position and orientation...
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