IEEE Transactions on Pattern Analysis and Machine Intelligence
3D objects recognition by optimal matching search of multinary relations graphs
Computer Vision, Graphics, and Image Processing
Direct construction of the perspective projection aspect graph of convex polyhedra
Computer Vision, Graphics, and Image Processing
Object recognition using local geometric constraints: a robust alternative to tree-search
ECCV 90 Proceedings of the first european conference on Computer vision
Efficiently Computing and Representing Aspect Graphs of Polyhedral Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition by Linear Combinations of Models
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
BONSAI: 3D Object Recognition Using Constrained Search
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Model matching in robot vision by subgraph isomorphism
Pattern Recognition
Performance comparison of ten variations on the interpretation-tree matching algorithm
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Computer Vision
Generic Object Recognition: Building and Matching Coarse Descriptions from Line Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rapid Object Indexing and Recognition Using Enhanced Geometric Hashing
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Model-Based Object Recognition - A Survey of Recent Research
Model-Based Object Recognition - A Survey of Recent Research
2D face recognition based on supervised subspace learning from 3D models
Pattern Recognition
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In this paper, we are introducing a system which is able to recognize polyhedral objects in an indoor environment. Our system is intended to be implemented on autonomous mobile platforms in order to enable the localization or research of a precise item. The algorithm is based on the use of geometric quasi-invariants associated to every object. These geometric quasi-invariants correspond to the ratio of the lengths as well as the angle formed by the pair of segments which are in relationship and which are constituting the object. We present some experimental results gained on one of our platforms in our laboratory.