Algorithms in combinatorial geometry
Algorithms in combinatorial geometry
On-line construction of the convex hull of a simple polyline
Information Processing Letters
Practical computer vision using C
Practical computer vision using C
An output sensitive algorithm for discrete convex hulls
Computational Geometry: Theory and Applications
A New Convex Hull Algorithm for Planar Sets
ACM Transactions on Mathematical Software (TOMS)
Data- and Model-Driven Gaze Control for an Active-Vision System
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Design and Analysis of Computer Algorithms
The Design and Analysis of Computer Algorithms
A New Convexity Measure for Polygons
IEEE Transactions on Pattern Analysis and Machine Intelligence
Accumulative computation method for motion features extraction in active selective visual attention
WAPCV'04 Proceedings of the Second international conference on Attention and Performance in Computational Vision
Image registration and object recognition using affine invariants and convex hulls
IEEE Transactions on Image Processing
Affine invariants of convex polygons
IEEE Transactions on Image Processing
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A novel real-time approach for classification or identification of objects is presented here that is suitable for visual attention system of mobile robots. The proposed method constructs convex hulls for regions found in an image using a new external scanning technique. Then a cleaning step produces refined polygons that are in turn used for extracting shape signatures for the regions. In the training phase, shape signatures are collected from test data to find a mean signature for a particular object. A small database is created for all objects related to a specific context in which classification is to be performed. In classifying phase, signatures obtained from objects found in a given image are compared with those present in the database for identification. Nearest signature from the database to a given one is taken as identity of the later. Results have proved efficiency and accuracy of this method.