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Geometrical Feature Extraction of CAD Models with Fully Convolutional Networks

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Advanced Machine Intelligence and Signal Processing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 858))

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Abstract

Deep neural network is widely used nowadays for the extraction of geometrical features from the 3D models. Extracting the geometrical features from the 3D bodies plays an important role in many applications like registration and tracking. This paper focuses on the registration of CAD models of machining features which are commonly used in industries. Data augmentation is done in order to obtain the pairwise dataset. For the registration, our approach obtained a pairwise dataset of the CAD models and used metric learning to train the fully convolutional geometrical features. The resulting model is able to obtain pairwise matching points during registration. As evaluation step, feature retrieval is carried out with Frobenius norm. The accuracy obtained using our model was 0.41, and the top-5 accuracy obtained was 0.87.

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Authors and Affiliations

  1. Center of Computational Engineering and Networking (CEN), Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India

    Gokul S. Jain, N. S. Kamal, V. V. Sajith Variyar, V. Sowmya & K. P. Soman

  2. Federated AI Services, Coimbatore, India

    H. B. Barathi Ganesh

Authors
  1. Gokul S. Jain
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  2. H. B. Barathi Ganesh
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  3. N. S. Kamal
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  4. V. V. Sajith Variyar
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  5. V. Sowmya
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  6. K. P. Soman
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Corresponding author

Correspondence to Gokul S. Jain .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Arunachal Pradesh (NITAP), Itanagar, Arunachal Pradesh, India

    Deepak Gupta

  2. Department of Computer Science and Engineering, National Institute of Technology Arunachal Pradesh (NITAP), Itanagar, Arunachal Pradesh, India

    Koj Sambyo

  3. School of Computer Science, Faculty of Engineering and IT, University of Technology, Sydney, NSW, Australia

    Mukesh Prasad

  4. Department of Information Technology, Indian Institute of Information Technology (IIIT), Allahabad, Uttar Pradesh, India

    Sonali Agarwal

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Jain, G.S., Ganesh, H.B.B., Kamal, N.S., Variyar, V.V.S., Sowmya, V., Soman, K.P. (2022). Geometrical Feature Extraction of CAD Models with Fully Convolutional Networks. In: Gupta, D., Sambyo, K., Prasad, M., Agarwal, S. (eds) Advanced Machine Intelligence and Signal Processing. Lecture Notes in Electrical Engineering, vol 858. Springer, Singapore. https://doi.org/10.1007/978-981-19-0840-8_65

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