Artificial neural networks and model-based recognition of 3D objects  from 2D images

Chih-Ho Chao; Atam P. Dhawan

doi:10.1117/12.139989

16 September 1992 Artificial neural networks and model-based recognition of 3-D objects from 2-D images

Chih-Ho Chao, Atam P. Dhawan

Proceedings Volume 1709, Applications of Artificial Neural Networks III; (1992) https://doi.org/10.1117/12.139989
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

A computer vision system is developed for 3-D object recognition using artificial neural networks and a knowledge-based top-down feedback analysis system. This computer vision system can adequately analyze an incomplete edge map provided by a low-level processor for 3-D representation and recognition using key features. The key features are selected using a priority assignment and then used in an artificial neural network for matching with model key features. The result of such matching is utilized in generating the model-driven top-down feedback analysis. From the incomplete edge map we try to pick a candidate pattern utilizing the key feature priority assignment. The highest priority is given for the most connected node and associated features. The features are space invariant structures and sets of orientation for edge primitives. These features are now mapped into real numbers. A Hopfield network is then applied with two levels of matching to reduce the search time. The first match is to choose the class of possible model, the second match is then to find the model closest to the data patterns. This model is then rotated in 3-D to find the best match with the incomplete edge patterns and to provide the additional features in 3-D. In the case of multiple objects, a dynamically interconnected search strategy is designed to recognize objects using one pattern at a time. This strategy is also useful in recognizing occluded objects. The experimental results presented show the capability and effectiveness of this system.

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Chih-Ho Chao and Atam P. Dhawan "Artificial neural networks and model-based recognition of 3-D objects from 2-D images", Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); https://doi.org/10.1117/12.139989

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KEYWORDS

3D modeling

Neurons

Artificial neural networks

3D image processing

Computing systems

Model-based design

Computer vision technology

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