Statistical shape modelling for expression-invariant face analysis and recognition

Paper introduces a 3-D shape representation scheme for automatic face analysis and identification, and demonstrates its invariance to facial expression. The core of this scheme lies on the combination of statistical shape modelling and non-rigid deformation matching. While the former matches 3-D faces with facial expression, the latter provides a low-dimensional feature vector that controls the deformation of model for matching the shape of new input, thereby enabling robust identification of 3-D faces. The proposed scheme is also able to handle the pose variation without large part of missing data. To assist the establishment of dense point correspondences, a modified free-form-deformation based on B-spline warping is applied with the help of extracted landmarks. The hybrid iterative closest point method is introduced for matching the models and new data. The feasibility and effectiveness of the proposed method was investigated using standard publicly available Gavab and BU-3DFE datasets, which contain faces with expression and pose changes. The performance of the system was compared with that of nine benchmark approaches. The experimental results demonstrate that the proposed scheme provides a competitive solution for face recognition.     

Overcoming the information overload problem in a multiform feedback-based virtual reality system for hand motion rehabilitation: healthy subject case study

The use of composite multiple feedback in a newly proposed virtual reality system enables the patient to perceive similar real-world performance in the virtual world. However, it might cause information overload, which makes the patient feel confused and distracted during training. The aim of this study is to investigate the effectiveness of having separate function-specific feedback pre-training prior to the final multiform feedback task. During the evaluating tests with thirty healthy subjects, it has been found that effective pre-training set could overcome the problem in the main task. Minor modifications on the pre-training set could overcome or aggravate the problem, which indicates the importance of choosing the correct pre-training parameters.     

Development and evaluation of fast branch-and-bound algorithm for feature matching based on line segments

By extending the previously proposed geometric branch-and-bound algorithm with bounded alignment for point pattern matching, the paper presents the development and evaluation of a new and fast algorithm for image registration based on line segments. Using synthetically generated data sets with randomly distributed line segments and hard test cases with highly symmetric line patterns, as well as real remote sensing images, the developed algorithm is shown to be computationally fast, highly robust, capable of handling severely corrupted data sets with considerable line segment position errors as well as significant fragmented and spurious line segments in the images to be matched.     

New synchronisation method for satellite-switched time-division multiple-access systems

A new synchronisation method for satellite-switched time-division multiple-access systems is described. It is shown that this method has some significant system benefits, and involves a small increase in satellite hardware complexity.     

Approach to wavelet transform implementation: wavelet-like filterbanks

The authors present a new method for the design of wavelet-like filter banks using arbitrary lowpass filter response functions, thereby providing a flexible alternative to the implementation of the wavelet transform. The proposed wavelet-like filter banks are shown to offer superior reconstruction performance and possess the property of almost linear phase     

ATM网络中综合连接接纳控制与路由选择的模糊决策策略

本文提出了一种新的模糊决策策略,用于综合考虑连续接纳控制和路由选择,以求在ＡＴＭ网络中增加整个网络的吞吐量和降低信元丢失率与呼损率。文章中详细阐述了该模糊决策系统的原理,并给出了一种自适应调节系统参数的方法。仿真结果说明利用神经网络能够成功地实现此模糊系统。     

分形信号估计的最佳子波门限方法

本文提出了一种基于奈曼－皮尔逊（Ｎｅｙｍａｎ－Ｐｅａｒｓｏｎ）准则和最小均方误差准则的，估计淹没在加性白高斯噪声中的１／ｆ类分形信号的最佳子波门限方法，计算机仿真结果证明了该方法的可行性和有效性。     

Reliability and validity of the Jesness Inventory: A caution.

A 1-wk test–retest interval was used with 59 delinquent and 68 nondelinquent White male adolescents in studying the Jesness Inventory. The data show that the 10 individual subscales were unstable and that the Asocial Index had moderate stability for broad classification but not for specific raw scores. The Asocial Index, which is the major predictor of delinquency, failed to distinguish accurately the delinquents from the nondelinquents. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Immersive manipulation of virtual objects through glove-based hand gesture interaction

Immersive visualisation is increasingly being used for comprehensive and rapid analysis of objects in 3D and object dynamic behaviour in 4D. Challenges are therefore presented to provide natural user interaction to enable effortless virtual object manipulation. Presented in this paper is the development and evaluation of an immersive human?Ccomputer interaction system based on stereoscopic viewing and natural hand gestures. For the development, it is based on the integration of a back-projection stereoscopic system for object and hand display, a hybrid inertial and ultrasonic tracking system to provide the absolute positions and orientations of the user??s head and hands, as well as a pair of high degrees-of-freedom data gloves to provide the relative positions and orientations of digit joints and tips on both hands. For the evaluation, it is based on a two-object scene with a virtual cube and a CT (computed tomography) volume created for demonstration of real-time immersive object manipulation. The system is shown to provide a correct user view of objects and hands in 3D with depth, as well as to enable a user to use a number of simple hand gestures to perform basic object manipulation tasks involving selection, release, translation, rotation and scaling. Also included in the evaluation are some quantitative tests of the system performance in terms of speed and latency.