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Object Recognition Using SBMHF Features

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International Conference on Intelligent Computing and Smart Communication 2019

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

In this research work we have achieved an object recognition from an image, instead of using feature extraction methods, directly we have considered five different namely SURF (S), MINEIGEN (M), BRISK (B), FAST (F) and HARRIS (H). To prove the efficacy of the proposed method, experimentation is carried out on our own dataset containing seven different images in which every image containing 11 objects which are both oriented and also occluded. From the experimentation, it is observed that mineigen gives good results.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Kuvempu University, Shimoga, 577451, Karnataka, India

    M. Ravikumar, S. Sampathkumar, M. C. Prashanth & B. J. Shivaprasad

Authors
  1. M. Ravikumar
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  2. S. Sampathkumar
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  3. M. C. Prashanth
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  4. B. J. Shivaprasad
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Corresponding author

Correspondence to S. Sampathkumar .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Gwalior, India

    Geetam Singh Tomar

  2. Indian Institute of Technology Indore, Indore, Madhya Pradesh, India

    Narendra S. Chaudhari

  3. Applied Computing Graduate Program, University of Vale do Rio dos Sinos, Sao Leopoldo, Rio Grande do Sul, Brazil

    Jorge Luis V. Barbosa

  4. Department of Electronics and Communication Engineering, THDC-Institute of Hydropower Engineering and Technology, Tehri, Uttarakhand, India

    Mahesh Kumar Aghwariya

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Ravikumar, M., Sampathkumar, S., Prashanth, M.C., Shivaprasad, B.J. (2020). Object Recognition Using SBMHF Features. In: Singh Tomar, G., Chaudhari, N.S., Barbosa, J.L.V., Aghwariya, M.K. (eds) International Conference on Intelligent Computing and Smart Communication 2019. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0633-8_99

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