Titlebook: Visual Information and Information Systems; 8th International Co Stéphane Bres,Robert Laurini Conference proceedings 2006 Springer-Verlag B

NEG

Alexandra Teynor,Wolfgang Müller,Wolfgang Kowarschickate both neural-network systems. Computer-modeling results verify that superior convergence and efficacy could be achieved by such ZNN models in this time-varying problem solving, as compared to the GNN models.

ENNUI

Yan Yan,Jesse S. Jints have been identified, we propose an orthogonal polynomial to smooth the range measurements estimated by KF and a range measurement reconstruction model to suppress NLOS error. Simulations verify its effectiveness to true range reconstruction as well as location tracking in NLOS environment.

PHAG

Face Recognition Using Modular Bilinear Discriminant Analysis, compare the effectiveness of MBDA with respect to BDA and to the Modular Eigenspaces method. The experimental results indicate that MBDA is more effective than both BDA and the Modular Eigenspaces approach for face recognition.

fodlder

Computer Vision Architecture for Real-Time Face and Hand Detection and Tracking,ale neural network module which only processes those image regions selected by the preprocessing stage, which are fully expected to be skin. The neural networks make the last decision about face and hand detection. After that, the architecture tracks the trajectories which face and hands follow.

全神贯注于

Motion Trajectory Clustering for Video Retrieval Using Spatio-temporal Approximations,over existing approaches that encode trajectories as point-based flow vectors. Experiments on pedestrian motion data gathered from video surveillance demonstrate the effectiveness of our approach. Applications to motion data mining in video surveillance databases are envisaged.

Cantankerous

Interactive Animation to Visually Explore Time Series of Satellite Imagery,series, has been qualitatively evaluated by experts in monitoring. Data collection methods used are the think aloud method, interviews and a questionnaire. The evaluation revealed user strategies, tool use and the role of effects of animation use. Results indicate that users are able to extract relevant information in a monitoring context.

vitreous-humor

engagement

妈妈不开心

Grey-Scale Image Colorization by Local Correlation Based Optimization Algorithm,ion method is to formalize the colorization problem as minimizing a quadratic cost function under some assumptions that are mainly based on the local image characters. It can be successfully applied in colorization a variety of grey-scale images. In our colorization method, users only need to freely

IRS

Face Recognition Using Modular Bilinear Discriminant Analysis,is created, each one being trained independently on specific face regions using a new supervised technique named Bilinear Discriminant Analysis (BDA). BDA relies on the maximization of a generalized Fisher criterion based on bilinear projections of face image matrices. In a second step, the experts