Recognizing features from orthographic images using neural networks: a framework for CADCAM and AVI integration

DOI10.1080/00207540600720128zbMath1208.68227OpenAlexW2087754144MaRDI QIDQ3430261

Sheik Meeran, M. T. Afzal

Publication date: 21 March 2007

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540600720128

zbMATH Keywords

neural networksintegrationAVIfeature recognitionCADCAMorthographic images

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05)

Cites Work

• Graph-based heuristics for recognition of machined features from a 3D solid model
• Assessment of features technology
• Automated feature recognition from 2D drawings
• A generic approach to recognising isolated, nested and interacting features from 2D drawings.
• Two-Dimensional Critical Point Configuration Graphs
• Recognition and interpretation of interacting and non-interacting features using spatial decomposition and Hamiltonian path search
• Feature patterns in recognizing non-interacting and interacting primitive, circular and slanting features using a neural network
• A hybrid method for recognizing interacting machining features

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