A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Localizing Overlapping Parts by Searching the Interpretation Tree
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two-dimensional, model-based, boundary matching using footprints
International Journal of Robotics Research
MIT progress in understanding images
Proceedings of a workshop on Image understanding workshop
Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
The Combinatorics of Heuristic Search Termination for Object Recognition in Cluttered Environments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural Indexing: Efficient 3-D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A Real-Time Matching System for Large Fingerprint Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Indexing without Invariants in 3D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Recognition and Location of Partially Occluded Objects
Journal of Intelligent and Robotic Systems
Line Pattern Retrieval Using Relational Histograms
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Self-reliance Smoothness of the Vision-Based Recognition of Hand Gestures
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Robust Structural Indexing through Quasi-Invariant Shape Signatures and Feature Generation
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Retrieval of Partially Visible Shapes through Structural Feature Indexing
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Shape Retrieval by Hierarchical Evolution
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Fast retrieval of isolated visual shapes
Computer Vision and Image Understanding
Fast correspondence-based system for shape retrieval
Pattern Recognition Letters
The image analysis system with Adaptive Component
ISICT '04 Proceedings of the 2004 international symposium on Information and communication technologies
Qualitative part-based models in content-based image retrieval
Machine Vision and Applications
Registration of combined range-intensity scans: Initialization through verification
Computer Vision and Image Understanding
Boundary Shape Recognition Using Accumulated Length and Angle Information
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Minimizing the search space for shape retrieval algorithms
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
Symbol spotting in technical drawings using vectorial signatures
GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives
Object image retrieval by shape content in complex scenes using geometric constraints
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Image-based registration of 3D-range data using feature surface elements
VAST'04 Proceedings of the 5th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
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The problem of recognition of multiple flat objects in a cluttered environment from an arbitrary viewpoint is addressed. The models are acquired automatically and approximated by polygons with multiple line tolerances for robustness. Groups of consecutive segments (super segments) are then encoded and entered into a table. This provides the essential mechanism for indexing and fast retrieval. Once the database of all models is built, the recognition proceeds by segmenting the scene into a polygonal approximation; the code for each super segment retrieves model hypotheses from the table. Hypotheses are clustered if they are mutually consistent and represent the instance of a model. Finally, the estimate of the transformation is refined. This methodology makes it possible to recognize models despite noise, occlusion, scale rotation translation, and a restricted range of weak perspective. A complexity bound is obtained.