The connection machine
Computational strategies for object recognition
ACM Computing Surveys (CSUR)
Scalable data parallel implementations of object recognition using geometric hashing
Journal of Parallel and Distributed Computing - Special issue on data parallel algorithms and programming
A Parallel Algorithm for Graph Matching and Its MasPar Implementation
IEEE Transactions on Parallel and Distributed Systems
A two-subcycle thinning algorithm and its parallel implementation on SIMD machines
IEEE Transactions on Image Processing
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Recognition of objects is a particularly demanding problem, if one considers that each image must be interpreted in milliseconds (usually 30 or 40 frames/second). In this paper we propose a massively parallel object recognition system, which makes use of the multi polygonal approximation scheme for the extraction of rotation and translation invariant shape features, in connection with artificial neural networks for the parallel classification of the extracted features. The system has been successfully applied for recognizing aircraft shapes in different sizes, orientations, with the addition of noise distortion and occlusion. Timings on the Connection Machine 200 are also reported.