An Efficiently Computable Metric for Comparing Polygonal Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Elements of information theory
Elements of information theory
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
Shape Similarity Measure Based on Correspondence of Visual Parts
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Polygon Evolution by Vertex Deletion
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
A Vision Driven Automatic Assembly Unit
CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
Combining Region Splitting and Edge Detection through Guided Delaunay Image Subdivision
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Adaptive neuro fuzzy controller for adaptive compliant robotic gripper
Expert Systems with Applications: An International Journal
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A complete processing chain for visual object recognition is described in this paper. The system automatically detects individual objects on an assembly line, identifies their type, position, and orientation, and, thereby, forms the basis for automated object recognition and manipulation by single-arm robots. Two new ideas entered into the design of the recognition system. First we introduce a new fast and robust image segmentation algorithm that identifies objects in an unsupervised manner and describes them by a set of closed polygonal lines. Second we describe how to embed this object description into an object recognition process that classifies the objects by matching them to a given set of prototypes. Furthermore, the matching function allows us to determine the relative orientation and position of an object. Experimental results for a representative set of real-world tools demonstrate the quality and the practical applicability of our approach.