A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Multiple Resolution Segmentation of Textured Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A multiscale algorithm for image segmentation by variational method
SIAM Journal on Numerical Analysis
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling
International Journal of Computer Vision
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stochastic models for generic images
Quarterly of Applied Mathematics
Occlusion Models for Natural Images: A Statistical Study of a Scale-Invariant Dead Leaves Model
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift Analysis and Applications
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Modeling Visual Patterns by Integrating Descriptive and Generative Methods
International Journal of Computer Vision
Parsing Images into Region and Curve Processes
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
A Statistical Model for Contours in Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Range Image Segmentation by an Effective Jump-Diffusion Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis and Synthesis of Textured Motion: Particles and Waves
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Dynamic Human Pose Estimation using Markov Chain Monte Carlo Approach
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Natural Image Statistics for Natural Image Segmentation
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Parsing: Unifying Segmentation, Detection, and Recognition
International Journal of Computer Vision
Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Variational Maximum A Posteriori by Annealed Mean Field Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-based image retrieval: approaches and trends of the new age
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Variational Bayesian image modelling
ICML '05 Proceedings of the 22nd international conference on Machine learning
Image Segmentation by Networks of Spiking Neurons
Neural Computation
A Model-Based Approach for Estimating Human 3D Poses in Static Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sequential Monte Carlo for Bayesian Matching of Objects with Occlusions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parsing Images into Regions, Curves, and Curve Groups
International Journal of Computer Vision
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
Random Walks for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
International Journal of Computer Vision
Dynamic quantization for belief propagation in sparse spaces
Computer Vision and Image Understanding
Robust Image Segmentation Using Resampling and Shape Constraints
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Two-Level Generative Model for Cloth Representation and Shape from Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image-Based Modeling by Joint Segmentation
International Journal of Computer Vision
Recovering Surface Layout from an Image
International Journal of Computer Vision
A stochastic grammar of images
Foundations and Trends® in Computer Graphics and Vision
Nonparametric Bayesian Image Segmentation
International Journal of Computer Vision
Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems
International Journal of Computer Vision
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Unsupervised segmentation of natural images via lossy data compression
Computer Vision and Image Understanding
Image segmentation algorithm development using ground truth image data sets
Computer Vision and Image Understanding
Front-view vehicle detection by Markov chain Monte Carlo method
Pattern Recognition
Unsupervised multiphase segmentation: A recursive approach
Computer Vision and Image Understanding
Image segmentation by a contrario simulation
Pattern Recognition
Robust Higher Order Potentials for Enforcing Label Consistency
International Journal of Computer Vision
Local Histogram Based Segmentation Using the Wasserstein Distance
International Journal of Computer Vision
Texture map: an effective representation for image segmentation
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
Regional category parsing in undirected graphical models
Pattern Recognition Letters
Search strategies for shape regularized active contour
Computer Vision and Image Understanding
Estimating Uncertainty in Brain Region Delineations
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Data-driven MCMC for learning and inference in switching linear dynamic systems
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Patch Growing: Object segmentation using spatial coherence of local patches
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Patch Growing: Object segmentation using spatial coherence of local patches
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Efficient particle filtering using RANSAC with application to 3D face tracking
Image and Vision Computing
Learning Gaussian mixture models with entropy-based criteria
IEEE Transactions on Neural Networks
A Hierarchical and Contextual Model for Aerial Image Parsing
International Journal of Computer Vision
An efficient unsupervised MRF image clustering method
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
A variational framework for adaptive satellite images segmentation
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Histogram based segmentation using Wasserstein distances
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Segmentation of sub-cortical structures by the graph-shifts algorithm
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
A multiple instance learning based framework for semantic image segmentation
Multimedia Tools and Applications
MCMC curve sampling for image segmentation
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Marked point process for vascular tree extraction on angiogram
EMMCVPR'07 Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition
Hierarchical 3D perception from a single image
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Unsupervised multiphase segmentation: a phase balancing model
IEEE Transactions on Image Processing
Unsupervised multiphase segmentation: a phase balancing model
IEEE Transactions on Image Processing
The infinite hidden Markov random field model
IEEE Transactions on Neural Networks
A stability approach to convergence of curve evolution methods
Pattern Recognition Letters
Image segmentation algorithms based on the machine learning of features
Pattern Recognition Letters
Image segmentation by MAP-ML estimations
IEEE Transactions on Image Processing
CO3 for ultra-fast and accurate interactive segmentation
Proceedings of the international conference on Multimedia
Image segmentation with patch-pair density priors
Proceedings of the international conference on Multimedia
A two-level strategy for segmenting center of interest from pictures
Expert Systems with Applications: An International Journal
Proposal maps driven MCMC for estimating human body pose in static images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Detecting and reading text in natural scenes
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Multigrid and multi-level Swendsen-Wang cuts for hierarchic graph partition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Image segmentation via coherent clustering in L*a*b* color space
Pattern Recognition Letters
Segmentation via ncuts and lossy minimum description length: a unified approach
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Towards hypothesis testing and lossy minimum description length: a unified segmentation framework
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs
International Journal of Computer Vision
Predicate Logic Based Image Grammars for Complex Pattern Recognition
International Journal of Computer Vision
Computer Vision and Image Understanding
A review on automatic image annotation techniques
Pattern Recognition
Interactive segmentation with super-labels
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
Segmentation of Natural Images by Texture and Boundary Compression
International Journal of Computer Vision
Recursive Compositional Models for Vision: Description and Review of Recent Work
Journal of Mathematical Imaging and Vision
Spot detection in images with noisy background
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Embedding Gestalt laws on conditional random field for image segmentation
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Object recognition and tracking in video sequences: a new integrated methodology
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
What can we learn from biological vision studies for human motion segmentation?
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Color image segmentation through unsupervised gaussian mixture models
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
A bayesian approach for building detection in densely build-up high resolution satellite image
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
International Journal of Computer Vision
An efficient unsupervised MRF image clustering method
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Human pose tracking using multi-level structured models
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Bayesian image segmentation using MRF's combined with hierarchical prior models
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
A probabilistic integrated object recognition and tracking framework
Expert Systems with Applications: An International Journal
Adaptive simulated annealing for energy minimization problem in a marked point process application
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Exploiting inference for approximate parameter learning in discriminative fields: an empirical study
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Combined geometric-texture image classification
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Natural image segmentation with adaptive texture and boundary encoding
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Multicue graph mincut for image segmentation
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Explaining Activities as Consistent Groups of Events
International Journal of Computer Vision
DressUp!: outfit synthesis through automatic optimization
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Monte Carlo cluster refinement for noise robust image segmentation
Journal of Visual Communication and Image Representation
Efficient monte carlo sampler for detecting parametric objects in large scenes
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Diverse M-best solutions in markov random fields
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Window annealing for pixel-labeling problems
Computer Vision and Image Understanding
International Journal of Computer Vision and Image Processing
Toward parts-based scene understanding with pixel-support parts-sparse pictorial structures
Pattern Recognition Letters
On the convergence of the mean shift algorithm in the one-dimensional space
Pattern Recognition Letters
Detecting parametric objects in large scenes by Monte Carlo sampling
International Journal of Computer Vision
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This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contributes to image segmentation in four aspects. First, it designs efficient and well-balanced Markov Chain dynamics to explore the complex solution space and, thus, achieves a nearly global optimal solution independent of initial segmentations. Second, it presents a mathematical principle and a K-adventurers algorithm for computing multiple distinct solutions from the Markov chain sequence and, thus, it incorporates intrinsic ambiguities in image segmentation. Third, it utilizes data-driven (bottom-up) techniques, such as clustering and edge detection, to compute importance proposal probabilities, which drive the Markov chain dynamics and achieve tremendous speedup in comparison to the traditional jump-diffusion methods. Fourth, the DDMCMC paradigm provides a unifying framework in which the role of many existing segmentation algorithms, such as, edge detection, clustering, region growing, split-merge, snake/balloon, and region competition, are revealed as either realizing Markov chain dynamics or computing importance proposal probabilities. Thus, the DDMCMC paradigm combines and generalizes these segmentation methods in a principled way. The DDMCMC paradigm adopts seven parametric and nonparametric image models for intensity and color at various regions. We test the DDMCMC paradigm extensively on both color and gray-level images and some results are reported in this paper.