By Minsu Shin, Mankyu Park, Deockgil Oh (auth.), Tai-hoon Kim, Hojjat Adeli, Rosslin John Robles, Maricel Balitanas (eds.)
ISBN-10: 3642233112
ISBN-13: 9783642233111
This quantity constitutes the refereed lawsuits of the third overseas convention on complicated conversation and Networking, ACN 2011, held in Brno, Czech Republik, in June 2011. The fifty seven revised complete papers provided during this quantity have been conscientiously reviewed and chosen from quite a few submissions. The papers specialise in a number of the elements of development in complex conversation and Networking with computational sciences, arithmetic and knowledge know-how and deal with all present problems with conversation easy and infrastructure, networks uncomplicated and administration, multimedia software, photograph, video, sign and knowledge processing.
Read or Download Advanced Communication and Networking: Third International Conference, ACN 2011, Brno, Czech Republic, August 15-17, 2011. Proceedings PDF
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Extra info for Advanced Communication and Networking: Third International Conference, ACN 2011, Brno, Czech Republic, August 15-17, 2011. Proceedings
Sample text
With the ensemble averaging over the moving windows within the period of measurement, it has been possible to reduce the amount of analytic errors caused by the deviation of individual bio signals and the introduction of miscellaneous waves in the environment which is same as those of the people in the subject group. Also, it has been found that it is possible to execute the correlation analysis among different channels by utilizing the quantitative analytic method for each frequency broadband of the brainwave signals for the practical application.
Com Abstract. In this research, we use three cameras to produce a 3D face model based on 2D images. The suggested method extracts a facial region using color values and calculates the face structure by applying the AAM algorithm. The three processed images are combined to produce a final 3D image. Keywords: Mapping, 3D modeling, Face modeling. 1 Introduction 3D face modeling is a study on computer vision, which is widely applied to face recognition, games, VFX, and so on, for it is more elaborate and realistic compared to 2D modeling.
In the image, a shape is represented in AAM as a mean shape s0 plus a linear combination of shape bases {s }: s(P)= s P ∑ p s (1) where p = [ 1, 2, . . , ] are the shape parameters. Usually, the mean shape s0 and the shape bases {s } are learned by applying PCA to the training shapes. To consider global trans- formation of a shape, the shape bases set {s } is expanded to include four additional bases representing global translation, scaling, and rotation. Figure 1 shows some examples of the shape bases.
Advanced Communication and Networking: Third International Conference, ACN 2011, Brno, Czech Republic, August 15-17, 2011. Proceedings by Minsu Shin, Mankyu Park, Deockgil Oh (auth.), Tai-hoon Kim, Hojjat Adeli, Rosslin John Robles, Maricel Balitanas (eds.)
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