Index-based object recognition in pictorial data management
Computer Vision, Graphics, and Image Processing
Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
Recognizing solid objects by alignment with an image
International Journal of Computer Vision
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
3D object recognition using invariance
Artificial Intelligence - Special volume on computer vision
Semantic networks for understanding scenes
Semantic networks for understanding scenes
Mean and maximum common subgraph of two graphs
Pattern Recognition Letters
Digital Image Processing Algorithms and Applications
Digital Image Processing Algorithms and Applications
Computer and Robot Vision
Silhouette-Based Isolated Object Recognition through Curvature Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
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We propose a new approach to object classification based on the idea of geometric abstraction. A class of objects is described by means of a model which specifies the shape invariants common to all the members of the class. A model is a list of geometric constraints fixing the ranges in which local shape features can vary. We also propose an efficient algorithm for constraint satisfaction and we show the computational and descriptive advantages of our proposal with respect to other classification approaches based on average prototype models.