Perceptual organization and the representation of natural form
Artificial Intelligence
Generating and generalizing models of visual objects
Artificial Intelligence
Introduction to algorithms
Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic extraction of deformable part models
International Journal of Computer Vision
Recognizing solid objects by alignment with an image
International Journal of Computer Vision
3-D Shape Recovery Using Distributed Aspect Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
From volumes to views: an approach to 3-D object recognition
CVGIP: Image Understanding - Special issue on directions in CAD-based vision
Integrating qualitative and quantitative shape recovery
International Journal of Computer Vision
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
International Journal of Computer Vision
Recognition by functional parts
Computer Vision and Image Understanding - Special issue of funtion-based vision
FORMS: a flexible object recognition and modeling system
International Journal of Computer Vision
The Role of Model-Based Segmentation in the Recovery of Volumetric Parts From Range Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active object recognition integrating attention and viewpoint control
Computer Vision and Image Understanding
SIAM Journal on Computing
Matching Hierarchical Structures Using Association Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shock Graphs and Shape Matching
International Journal of Computer Vision
Data mining: concepts and techniques
Data mining: concepts and techniques
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Median Graphs: Properties, Algorithms, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Generic Object Recognition: Building and Matching Coarse Descriptions from Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Darboux Frames, Snakes, and Super-Quadrics: Geometry from the Bottom Up
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Algebraic Approach to Automatic Construction of Structural Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modal Matching for Correspondence and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Normalized Cuts and Image Segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Robust analysis of feature spaces: color image segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Combining greyvalue invariants with local constraints for object recognition
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Dealing with occlusions in the eigenspace approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Image Segmentation Using Local Variation
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A Cubist Approach to Object Recognition
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic learning from multiple examples for semantic object segmentation and search
Computer Vision and Image Understanding
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 12 - Volume 12
Towards a framework for learning structured shape models from text-annotated images
HLT-NAACL-LWM '04 Proceedings of the HLT-NAACL 2003 workshop on Learning word meaning from non-linguistic data - Volume 6
Object Recognition as Many-to-Many Feature Matching
International Journal of Computer Vision
The representation and matching of categorical shape
Computer Vision and Image Understanding
Efficient search and verification for function based classification from real range images
Computer Vision and Image Understanding
Retrieval of objects in video by similarity based on graph matching
Pattern Recognition Letters
Region-Based Hierarchical Image Matching
International Journal of Computer Vision
Learning function-based object classification from 3D imagery
Computer Vision and Image Understanding
Retrieving articulated 3-D models using medial surfaces
Machine Vision and Applications
Qualitative spatial relationships for image interpretation by using a conceptual graph
Image and Vision Computing
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
An Approach to the Parameterization of Structure for Fast Categorization
International Journal of Computer Vision
A Hierarchical and Contextual Model for Aerial Image Parsing
International Journal of Computer Vision
Qualitative spatial relationships for image interpretation by using semantic graph
GbRPR'07 Proceedings of the 6th IAPR-TC-15 international conference on Graph-based representations in pattern recognition
Inference and Learning with Hierarchical Shape Models
International Journal of Computer Vision
Hierarchical interactive image segmentation using irregular pyramids
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Irregular pyramid segmentations with stochastic graph decimation strategies
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Considerations regarding the minimum spanning tree pyramid segmentation method
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Selective tuning: feature binding through selective attention
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Evaluating minimum spanning tree based segmentation algorithms
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Object categorization and the need for many-to-many matching
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Adaptive pyramid and semantic graph: knowledge driven segmentation
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
Fast multi-view graph kernels for object classification
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Fast multi-view segment graph kernel for object classification
Signal Processing
Hi-index | 0.14 |
The recognition community has typically avoided bridging the representational gap between traditional, low-level image features and generic models. Instead, the gap has been artificially eliminated by either bringing the image closer to the models using simple scenes containing idealized, textureless objects or by bringing the models closer to the images using 3D CAD model templates or 2D appearance model templates. In this paper, we attempt to bridge the representational gap for the domain of model acquisition. Specifically, we address the problem of automatically acquiring a generic 2D view-based class model from a set of images, each containing an exemplar object belonging to that class. We introduce a novel graph-theoretical formulation of the problem in which we search for the lowest common abstraction among a set of lattices, each representing the space of all possible region groupings in a region adjacency graph representation of an input image. The problem is intractable and we present a shortest path-based approximation algorithm to yield an efficient solution. We demonstrate the approach on real imagery.