Attention and Performance in Computational Vision計算視覺的注意與執(zhí)行/會議錄

內(nèi)容概要

This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Attention and Performance in Computational Vision, WAPCV 2004, held in Prague, Czech Republic in May 2004.　　The 16 revised full papers presented together with an invited paper were carefully selected during two rounds of reviewing and improvement. The papers are organized in topical sections on attention in object and scene recognition, architectures for sequential attention, biologically plausible models for attention, and applications of attentive vision.

書籍目錄

Attention in Object and Scene Recognition  Distributed Control of Attention  Inherent Limitations of Visual Search and the Role of Inner-Scene Similarity  Attentive Object Detection Using an Information Theoretic Saliency MeasureArchitectures for Sequential Attention  A Model of Object-Based Attention That Guides Active Visual Search to Behaviourally Relevant Locations  Learning of Position-Invariant Object Representation Across Attention Shifts  Combining Conspicuity Maps for hROIs Prediction  Human Gaze Control in Real World SearchBiologically Plausible Models for Attention  The Computational Neuroscience of Visual Cognition: Attention, Memory and Reward  Modeling Attention: From Computational Neuroscience to Computer Vision  Towards a Biologically Plausible Active Visual Search Model  Modeling Grouping Through Interactions Between Top-Down and Bottom-Up Processes: The Grouping and Selective Attention for Identification Model (G-SAIM)  TarzaNN: A General Purpose Neural Network Simulator for Visual Attention ModelingApplications of Attentive Vision  Visual Attention for Object Recognition in Spatial 3D Data  A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition  Biologically Motivated Visual Selective Attention for Face Localization  Accumulative Computation Method for Motion Features Extraction in Active Selective Visual Attention  Fast Detection of Frequent Change in Focus of Human AttentionAuthor Index

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