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Pattern recognition :26th DAGM Symposium, Tübingen, Germany, August 30-September 1, 2004 : proceedings

  • 作者: DAGM (Organization).
  • 其他作者: Rasmussen, Carl Edward.
  • 出版: Berlin ;New York : Springer ©2004.
  • 稽核項: 1 online resource (xviii, 581 pages) :illustrations.
  • 叢書名: Lecture notes in computer science,3175
  • 標題: Optical pattern recognition Congresses. , Optical Data Processing. , Electronic books. , Optical pattern recognition. , Pattern recognition systems. , Pattern recognition systems , Optical pattern recognition , Computer Vision & Pattern Recognition. , Pattern recognition systems Congresses. , COMPUTERS , Digital techniques. , Image processing Digital techniques -- Congresses. , Digital techniques , COMPUTERS Computer Vision & Pattern Recognition. , Image processing Digital techniques. , Conference papers and proceedings. , Image processing , COMPUTERS Optical Data Processing.
  • ISBN: 3540229450 , 9783540229452
  • ISBN: 0302-9743 ;
  • 試查全文@TNUA:
  • 附註: Includes bibliographical references and index. Learning -- Predictive Discretization During Model Selection -- Adaptive Feature Selection in Image Segmentation -- Semi-supervised Kernel Regression Using Whitened Function Classes -- Bayesian Approaches -- Fast Monocular Bayesian Detection of Independently Moving Objects by a Moving Observer -- Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk -- Vision and Faces -- 3D Head Pose Estimation with Symmetry Based Illumination Model in Low Resolution Video -- Efficient Approximations for Support Vector Machines in Object Detection -- Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features -- Vision / Motion -- Differential Analysis of Two Model-Based Vehicle Tracking Approaches -- Efficient Computation of Optical Flow Using the Census Transform -- Hybrid Model-Based Estimation of Multiple Non-dominant Motions -- Biologically Motivated Approaches -- A Model of Motion, Stereo, and Monocular Depth Perception -- POI Detection Using Channel Clustering and the 2D Energy Tensor -- Segmentation -- 3D Segmentation and Quantification of Human Vessels Based on a New 3D Parametric Intensity Model -- Hierarchical Image Segmentation Based on Semidefinite Programming -- Fast Random Sample Matching of 3d Fragments -- Object Recognition -- Invariants for Discrete Structures -- An Extension of Haar Integrals over Transformation Groups to Dirac Delta Functions -- Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search -- Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching -- Object Recognition / Synthesis -- Estimation of Multiple Orientations at Corners and Junctions -- Phase Based Image Reconstruction in the Monogenic Scale Space -- Synthesizing Movements for Computer Game Characters -- Poster Session -- MinOver Revisited for Incremental Support-Vector-Classification -- A Semantic Typicality Measure for Natural Scene Categorization -- Tunable
  • 摘要: This book constitutes the refereed proceedings of the 26th Symposium of the German Association for Pattern Recognition, DAGM 2004, held in Tübingen, Germany in August/September 2004. The 22 revised papers and 48 revised poster papers presented were carefully reviewed and selected from 146 submissions. The papers are organized in topical sections on learning, Bayesian approaches, vision and faces, vision and motion, biologically motivated approaches, segmentation, object recognition, and object recognition and synthesis.
  • 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=136281
  • 系統號: 005319214
  • 資料類型: 電子書
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  • 引用網址: 複製連結
This book constitutes the refereed proceedings of the 26th Symposium of the German Association for Pattern Recognition, DAGM 2004, held in Tübingen, Germany in August/September 2004. The 22 revised papers and 48 revised poster papers presented were carefully reviewed and selected from 146 submissions. The papers are organized in topical sections on learning, Bayesian approaches, vision and faces, vision and motion, biologically motivated approaches, segmentation, object recognition, and object recognition and synthesis.
來源: Google Book
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