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State-of-the-Art Object Recognition Techniques: A Comparative Study

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1053))

Abstract

Object recognition has a remarkable contribution in the field of computer vision. It has many areas of application like security, human–computer interface, industrial inspection and automation, etc. This paper presents the distinct object recognition approaches like feature-based method, appearance-based method and artificial neural network. Further, the various state-of-the-art algorithms like Scale Invariant Feature Transform (SIFT), Speeded-Up Robust Features (SURF), Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and Convolutional Neural Network (CNN) of these approaches are introduced along their pros and cons. Finally, we conclude with a comparison of these algorithms on the basis of robustness (in terms of rotation, illumination, occlusion and speed), complexity (computation load and memory usage) and accuracy.

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Author information

Authors and Affiliations

  1. Department of CSE, Maharishi Markandeshwar (Deemed to Be University), Mullana, Ambala, 133203, India

    Rohini Goel & Avinash Sharma

  2. Ambedkar Institute of Advance Communication Technology and Research, Delhi, India

    Rajiv Kapoor

Authors
  1. Rohini Goel
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  2. Avinash Sharma
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  3. Rajiv Kapoor
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Corresponding author

Correspondence to Rohini Goel .

Editor information

Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Tarun K. Sharma

  3. Department of Instrumentation and Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Om Prakash Verma

  4. Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Rajesh Singla

  5. Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Afzal Sikander

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Goel, R., Sharma, A., Kapoor, R. (2020). State-of-the-Art Object Recognition Techniques: A Comparative Study. In: Pant, M., Sharma, T., Verma, O., Singla, R., Sikander, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981-15-0751-9_85

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