Energy Minimization Methods in Computer Vision and Pattern Recognition 6th International Conference, EMMCVPR 2007, Ezhou, China, August 27-29, 2007. Proceedings /

This volume contains the papers presented at the Sixth International Conference on Energy Minimization Methods on Computer Vision and Pattern Recognition (EMMCVPR 2007), held at the Lotus Hill Institute, Ezhou, Hubei, China, August 27–29, 2007. The motivation for this conference is the realization t...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Yuille, Alan L. (Επιμελητής έκδοσης), Zhu, Song-Chun (Επιμελητής έκδοσης), Cremers, Daniel (Επιμελητής έκδοσης), Wang, Yongtian (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Σειρά:Lecture Notes in Computer Science, 4679
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Algorithms
  • An Effective Multi-level Algorithm Based on Simulated Annealing for Bisecting Graph
  • Szemerédi’s Regularity Lemma and Its Applications to Pairwise Clustering and Segmentation
  • Exact Solution of Permuted Submodular MinSum Problems
  • Efficient Shape Matching Via Graph Cuts
  • Simulating Classic Mosaics with Graph Cuts
  • An Energy Minimisation Approach to Attributed Graph Regularisation
  • Applications to Faces and Text
  • A Pupil Localization Algorithm Based on Adaptive Gabor Filtering and Negative Radial Symmetry
  • Decomposing Document Images by Heuristic Search
  • CIDER: Corrected Inverse-Denoising Filter for Image Restoration
  • Skew Detection Algorithm for Form Document Based on Elongate Feature
  • Active Appearance Models Fitting with Occlusion
  • Combining Left and Right Irises for Personal Authentication
  • Image Parsing
  • Bottom-Up Recognition and Parsing of the Human Body
  • to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks
  • An Automatic Portrait System Based on And-Or Graph Representation
  • Object Category Recognition Using Generative Template Boosting
  • Bayesian Inference for Layer Representation with Mixed Markov Random Field
  • Image Processing
  • Dichromatic Reflection Separation from a Single Image
  • Noise Removal and Restoration Using Voting-Based Analysis and Image Segmentation Based on Statistical Models
  • A Boosting Discriminative Model for Moving Cast Shadow Detection
  • Motion Analysis
  • An a Contrario Approach for Parameters Estimation of a Motion-Blurred Image
  • Improved Object Tracking Using an Adaptive Colour Model
  • Vehicle Tracking Based on Image Alignment in Aerial Videos
  • Probabilistic Fiber Tracking Using Particle Filtering and Von Mises-Fisher Sampling
  • Compositional Object Recognition, Segmentation, and Tracking in Video
  • Bayesian Order-Adaptive Clustering for Video Segmentation
  • Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis
  • Shape Analysis
  • Discrete Skeleton Evolution
  • Shape Classification Based on Skeleton Path Similarity
  • Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves
  • Shape Analysis of Open Curves in ?3 with Applications to Study of Fiber Tracts in DT-MRI Data
  • Three-Dimensional Processing
  • Energy-Based Reconstruction of 3D Curves for Quality Control
  • 3D Computation of Gray Level Co-occurrence in Hyperspectral Image Cubes
  • Continuous Global Optimization in Multiview 3D Reconstruction
  • A New Bayesian Method for Range Image Segmentation
  • Marked Point Process for Vascular Tree Extraction on Angiogram
  • Surface Reconstruction from LiDAR Data with Extended Snake Theory.