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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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Publisher

Kluwer Academic Publishers

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DOI

10.1002/cbm.1866

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ISSN

1573-1405

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Parsing Images into Regions Curves and Curve Gro

Authors: Zhuowen Tu SongChun Zhu
Publish Date: 2006/05/01
Volume: 69, Issue: 2, Pages: 223-249
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Abstract

In this paper we present an algorithm for parsing natural images into middle level vision representations—regions curves and curve groups parallel curves and trees This algorithm is targeted for an integrated solution to image segmentation and curve grouping through Bayesian inference The paper makes the following contributions 1 It adopts a layered or 21Dsketch representation integrating both region and curve models which compete to explain an input image The curve layer occludes the region layer and curves observe a partial order occlusion relation 2 A Markov chain search scheme Metropolized Gibbs Samplers MGS is studied It consists of several pairs of reversible jumps to traverse the complex solution space An MGS proposes the next state within the jump scope of the current state according to a conditional probability like a Gibbs sampler and then accepts the proposal with a MetropolisHastings step This paper discusses systematic design strategies of devising reversible jumps for a complex inference task 3 The proposal probability ratios in jumps are factorized into ratios of discriminative probabilities The latter are computed in a bottomup process and they drive the Markov chain dynamics in a datadriven Markov chain Monte Carlo framework We demonstrate the performance of the algorithm in experiments with a number of natural images

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  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. Using Biologically Inspired Features for Face Processing
  21. Two-View Motion Segmentation with Model Selection and Outlier Removal by RANSAC-Enhanced Dirichlet Process Mixture Models
  22. Information-Theoretic Active Polygons for Unsupervised Texture Segmentation
  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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