Notice of RetractionEffect of Gaze Direction and Face Expression on Visual Reflexive Attention
As important social clues, gaze direction and expression usually influence people's social interaction in their communication, and facial cognition is also a hot topic in social cognitive study. In our studies, by comparing facial cognition in upright and inverted face, considering both gaze direction and expression, we tried to explore the mechanism of gaze and expression processing by the method of Posner, and explored sex difference in it. Results indicated that gaze direction could act as a central cue and brought out benefit effect and cost effect only when face is upright. While negative expression would act as an abstractor and prolonged the reflexive attention to target also only in upright face, which means expression and gaze direction were both processed by holistic with the face. What's more, we found sex difference in these two processing.

title: The Intelligent Reconfigurable Measuring Node Based on Wireless Access Network
abstract: An instance of measuring node of service life measuring and control system of household appliances using FPGA and nRF2401 is present. FPGA is the core of the system which is embedded with E-MAC IP core to realize the remote monitor system replying on the TCP/IP communication protocol, and nRF2401 is wireless periphery that realizes the wireless data acquisition. How to design and implement the hardware and software on the platform of FPGA is expatiated, including constructing the hardware system in the FPGA, designing the software and analyzing the wireless module. The system uses wireless network technology and LabView software, connecting the traditional monitoring system with Internet together, and realizing automatization and informatization of household appliances measuring and control system. Result shows that it’ s a highly integrated and reconfigurable system with great flexibility.

title: Model replication: transformations to address model scalability
abstract: 2 SUMMARY In Model-Driven Engineering, it is often desirable to evaluate different design alternatives as they relate to scalability issues of the modeled system. A typical approach to address scalability is model replication, which starts by creating base models that capture the key entities as model elements and their relationships as model connections. A collection of base models can be adorned with necessary information to characterize a specific scalability concern as it relates to how the base modeling elements are replicated and connected together. In current modeling practice, such model replication is usually accomplished by scaling the base model manually. This is a time-consuming process that represents a source of error, especially when there are deep interactions between model components. As an alternative to the manual process, this paper presents the idea of automated model replication through a model transformation process that expands the number of elements from the base model and makes the correct connections among the generated modeling elements. The paper motivates the need for model replication through case studies taken from models supporting different domains.

title: Camera Calibration from a Single Frame of Planar Pattern
abstract: A method to calibrate camera from a single frame of planar pattern is presented in this paper. For a camera model with four intrinsic parameters and visible lens distortion, the principal point and distortion coefficients are firstly determined through analysis of the distortion in an image. The distortion is then removed. Finally, the other intrinsic and extrinsic parameters of the camera are obtained through direct linear transform followed by bundle adjustment. Theoretically, the method makes it possible to analyze the calibration result at the level of a single frame. Practically, such a method provides a easy way to calibrate a camera used in industrial vision system on line and used in desktop vision system. Experimental results of both simulated data and real images validate the method.

title: A low complexity method for real-time gaze tracking
abstract: The paper addresses a novel, fast and low complexity gaze tracking method, which remedies computation complexity and real-time processing problems of most existing gaze tracking methods. Face images are captured and pre-processed under infrared lamp-houses with dual thresholds. Pupil area is verified by the run-length in eight directions, and the gaze point is located by mapping the vectors of pupil and reflection point or using neural network. The experimental results show that the real-time processing of gaze tracking, with high resolution and high accuracy simultaneously, is achieved in this new system.

title: Simplifying the Reconstruction of 3D Models using Parameter Elimination
abstract: Reconstructing large models from images is a significant challenge for computer vision, computer graphics, and related fields. In this paper, we present an approach for simplifying the reconstruction process by mathematically eliminating external camera parameters. This results in less parameters to estimate and in an overall significantly more robust and accurate reconstruction. We reformulate the problem in such a manner as to be able to identify invariants, eliminate superfluous parameters, and measure the performance of our formulation under various conditions. We compare a two-step camera orientation-free method, where the majority of the points are reconstructed using a linear equation set, and a camera position-and- orientation free method, using a degree-two equation set. Both approaches use a full perspective camera and are applied to synthetic and real-world datasets.

title: Extraction and mining of an academic social network
abstract: This paper addresses several key issues in extraction and mining of an academic social network: 1) extraction of a researcher social network from the existing Web; 2) integration of the publications from existing digital libraries; 3) expertise search on a given topic; and 4) association search between researchers. We developed a social network system, called ArnetMiner, based on proposed methods to the above problems. In total, 448,470 researcher profiles and 981,599 publications were extracted/integrated after the system having been in operation for two years. The paper describes the architecture and main features of the system. It also briefly presents the experimental results of the proposed methods.