A computational model for visual selection
Neural Computation
Computer and Robot Vision
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Face Recognition Using Active Appearance Models
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Locating Objects of Varying Shape Using Statistical Feature Detectors
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Recognition of Planar Object Classes
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Probablistic Affine Invariants for Recognition
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Locating Salient Facial Features Using Image Invariants
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Finding faces in cluttered scenes using random labeled graph matching
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Recognizing Surfaces Using Three-Dimensional Textons
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Deformable templates for face recognition
Journal of Cognitive Neuroscience
Learning a Sparse Representation for Object Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Evaluating Image Segmentation Algorithms Using the Pareto Front
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Multimodal Data Representations with Parameterized Local Structures
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Generic Model Abstraction from Examples
Revised Papers from the International Workshop on Sensor Based Intelligent Robots
View-Based Recognition of Faces in Man and Machine: Re-visiting Inter-extra-Ortho
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Unsupervised Learning of Part-Based Representations
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Building Models of Animals from Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locating and Segmenting 3D Deformable Objects by Using Clusters of Contour Fragments
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Some Objects Are More Equal Than Others: Measuring and Predicting Importance
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Reinforcement Learning for Decision Making in Sequential Visual Attention
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
A Multimodal Constellation Model for Object Category Recognition
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
A Hierarchical Model for the Recognition of Deformable Objects
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Visual alphabets on different levels of abstraction for the recognition of deformable objects
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Weakly supervised classification of objects in images using soft random forests
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Object recognition with hierarchical stel models
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Object recognition using proportion-based prior information: Application to fisheries acoustics
Pattern Recognition Letters
Vehicle model recognition from frontal view image measurements
Computer Standards & Interfaces
Automatic view recognition in echocardiogram videos using parts-based representation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Is bottom-up attention useful for object recognition?
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Parts-based 3D object classification
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Flexible spatial models for grouping local image features
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Cost-Sensitive Active Visual Category Learning
International Journal of Computer Vision
EURASIP Journal on Advances in Signal Processing - Special issue on biologically inspired signal processing: analyses, algorithms and applications
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
A multimodal constellation model for object image classification
Journal on Image and Video Processing - Special issue on selected papers from multimedia modeling conference 2009
Nonparametric belief propagation
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Inference and Learning with Hierarchical Shape Models
International Journal of Computer Vision
Learning invariant structure for object identification by using graph methods
Computer Vision and Image Understanding
Integrating hierarchical feature selection and classifier training for multi-label image annotation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Two-probabilistic latent semantic model for image annotation and retrieval
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Improvements in image categorization using codebook ensembles
Image and Vision Computing
Learning of graphical models and efficient inference for object class recognition
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Properties of patch based approaches for the recognition of visual object classes
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Sampling strategies for bag-of-features image classification
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
The 2005 PASCAL visual object classes challenge
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Improving a discriminative approach to object recognition using image patches
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Object detection using a cascade of 3d models
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
About implicit and explicit shape representation
Reasoning, Action and Interaction in AI Theories and Systems
Learning compositional categorization models
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
A new class of learnable detectors for categorisation
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Discriminative features for image classification and retrieval
Pattern Recognition Letters
Attentive object detection using an information theoretic saliency measure
WAPCV'04 Proceedings of the Second international conference on Attention and Performance in Computational Vision
Object categorization by compositional graphical models
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
A statistically selected part-based probabilistic model for object recognition
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
A cascade of unsupervised and supervised neural networks for natural image classification
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Part-Based object detection using cascades of boosted classifiers
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation
International Journal of Computer Vision
Object recognition using discriminative parts
Computer Vision and Image Understanding
3D Scene interpretation by combining probability theory and logic: The tower of knowledge
Computer Vision and Image Understanding
Detection of similar sequences in EEG maps series using correlation coefficients matrix
Machine Graphics & Vision International Journal
Stel Component Analysis: Joint Segmentation, Modeling and Recognition of Objects Classes
International Journal of Computer Vision
Unsupervised object discovery via self-organisation
Pattern Recognition Letters
Achievements and challenges in recognizing and reconstructing civil infrastructure
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
Beyond Independence: An Extension of the A Contrario Decision Procedure
International Journal of Computer Vision
Learning part-based templates from large collections of 3D shapes
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
A framework for short-term activity-aware load forecasting
Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities
Unsupervised online learning for long-term autonomy
International Journal of Robotics Research
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We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of model where objects are represented as flexible constellations of rigid parts (features). The variability within a class is represented by a joint probability density function (pdf) on the shape of the constellation and the output of part detectors. In a first stage, the method automatically identifies distinctive parts in the training set by applying a clustering algorithm to patterns selected by an interest operator. It then learns the statistical shape model using expectation maximization. The method achieves very good classification results on human faces and rear views of cars.