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Title of Journal: Int J Comput Vision

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Abbravation: International Journal of Computer Vision

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Kluwer Academic Publishers

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DOI

10.1002/chin.199127105

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ISSN

1573-1405

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InformationTheoretic Active Polygons for Unsuperv

Authors: Gozde Unal Anthony Yezzi Hamid Krim
Publish Date: 2004/11/01
Volume: 62, Issue: 3, Pages: 199-220
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Abstract

Curve evolution models used in image segmentation and based on image region information usually utilize simple statistics such as means and variances hence can not account for higher order nature of the textural characteristics of image regions In addition the object delineation by active contour methods results in a contour representation which still requires a substantial amount of data to be stored for subsequent multimedia applications such as visual information retrieval from databases Polygonal approximations of the extracted continuous curves are required to reduce the amount of data since polygons are powerful approximators of shapes for use in later recognition stages such as shape matching and coding The key contribution of this paper is the development of a new active contour model which nicely ties the desirable polygonal representation of an object directly to the image segmentation process This model can robustly capture texture boundaries by way of higherorder statistics of the data and using an informationtheoretic measure and with its nature of the ordinary differential equations This new variational texture segmentation model is unsupervised since no prior knowledge on the textural properties of image regions is used Another contribution in this sequel is a new polygon regularizer algorithm which uses electrostatics principles This is a global regularizer and is more consistent than a local polygon regularization in preserving local features such as corners

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Other Papers In This Journal:
  1. Growing Regression Tree Forests by Classification for Continuous Object Pose Estimation
  2. Objects, Actions, Places
  3. Hierarchical Shape Segmentation and Registration via Topological Features of Laplace-Beltrami Eigenfunctions
  4. Geometric Image Parsing in Man-Made Environments
  5. On Taxonomies for Multi-class Image Categorization
  6. Full and Partial Symmetries of Non-rigid Shapes
  7. A Two-Layer Framework for Piecewise Linear Manifold-Based Head Pose Estimation
  8. Learning Discriminative Space–Time Action Parts from Weakly Labelled Videos
  9. Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data
  10. 3D Human Pose Tracking Priors using Geodesic Mixture Models
  11. Exemplar-Guided Similarity Learning on Polynomial Kernel Feature Map for Person Re-identification
  12. Ethnicity- and Gender-based Subject Retrieval Using 3-D Face-Recognition Techniques
  13. A Variational Approach to Video Registration with Subspace Constraints
  14. The Fisher-Rao Metric for Projective Transformations of the Line
  15. Planar Motion Estimation and Linear Ground Plane Rectification using an Uncalibrated Generic Camera
  16. Guest Editorial: Human Activity Understanding from 2D and 3D Data
  17. Fast and Stable Polynomial Equation Solving and Its Application to Computer Vision
  18. Robust Pose Recognition of the Obscured Human Body
  19. Teichmüller Shape Descriptor and Its Application to Alzheimer’s Disease Study
  20. Parsing Images into Regions, Curves, and Curve Groups
  21. Using Biologically Inspired Features for Face Processing
  22. Two-View Motion Segmentation with Model Selection and Outlier Removal by RANSAC-Enhanced Dirichlet Process Mixture Models
  23. Virtual Volumetric Graphics on Commodity Displays Using 3D Viewer Tracking
  24. 3-D Symmetry Detection and Analysis Using the Pseudo-polar Fourier Transform
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