Images, Frames, and Connectionist Hierarchies
Neural Computation
Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition
International Journal of Computer Vision
POP: Patchwork of Parts Models for Object Recognition
International Journal of Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic feature localisation with constrained local models
Pattern Recognition
Semantic image classification using statistical local spatial relations model
Multimedia Tools and Applications
Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection
International Journal of Computer Vision
A New Multiple Kernel Approach for Visual Concept Learning
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
Region and constellations based categorization of images with unsupervised graph learning
Image and Vision Computing
Shape-Based Object Localization for Descriptive Classification
International Journal of Computer Vision
Object localisation using the Generative Template of Features
Computer Vision and Image Understanding
A Hierarchical Model for the Recognition of Deformable Objects
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Object Class Recognition Using SNoW with a Part Vocabulary
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Learning to generate novel views of objects for class recognition
Computer Vision and Image Understanding
Computing rank-convolutions with a mask
ACM Transactions on Algorithms (TALG)
Object Recognition Based on Efficient Sub-window Search
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Spatial Configuration of Local Shape Features for Discriminative Object Detection
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Constellations and the unsupervised learning of graphs
GbRPR'07 Proceedings of the 6th IAPR-TC-15 international conference on Graph-based representations in pattern recognition
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Boosted multiple deformable trees for parsing human poses
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Per-sample multiple kernel approach for visual concept learning
Journal on Image and Video Processing - Special issue on selected papers from multimedia modeling conference 2009
Scene categorization using boosted back-propagation neural networks
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
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
The semi-explicit shape model for multi-object detection and classification
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Voting by grouping dependent parts
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Detecting people using mutually consistent poselet activations
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Fast multi-aspect 2D human detection
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Reducing ambiguity in object recognition using relational information
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Inference and Learning with Hierarchical Shape Models
International Journal of Computer Vision
Synthetically trained multi-view object class and viewpoint detection for advanced image retrieval
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Maximum likelihood estimates for object detection using multiple detectors
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Weakly supervised learning of part-based spatial models for visual object recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Probabilistic modeling for structural change inference
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Sparse flexible models of local features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Located hidden random fields: learning discriminative parts for object detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
A novel object categorization model with implicit local spatial relationship
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Visual classification of images by learning geometric appearances through boosting
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
A boundary-fragment-model for object detection
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
Visual pattern discovery for architecture image classification and product image search
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Discriminative Appearance Models for Pictorial Structures
International Journal of Computer Vision
Evaluating a color-based active basis model for object recognition
Computer Vision and Image Understanding
Constellation models for sketch recognition
SBM'06 Proceedings of the Third Eurographics conference on Sketch-Based Interfaces and Modeling
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Part-based object detection into a hierarchy of image segmentations combining color and topology
Pattern Recognition Letters
Graph matching and clustering using kernel attributes
Neurocomputing
Visual object detection with deformable part models
Communications of the ACM
Object class detection: A survey
ACM Computing Surveys (CSUR)
Hough-based tracking of non-rigid objects
Computer Vision and Image Understanding
Computer Vision and Image Understanding
| Hi-index | 0.03 |
We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These models provide a way of relating different spatial priors that have been used for recognizing generic classes of objects, including joint Gaussian models and tree-structured models. By providing explicit control over the degree of spatial structure, our models make it possible to study the extent to which additional spatial constraints among parts are actually helpful in detection and localization, and to consider the tradeoff in representational power and computational cost. We consider these questions for object classes that have substantial geometric structure, such as airplanes, faces and motorbikes, using datasets employed by other researchers to facilitate evaluation. We find that for these classes of objects, a relatively small amount of spatial structure in the model can provide statistically indistinguishable recognition performance from more powerful models, and at a substantially lower computational cost.