Object Classification Using SIFT Algorithm and Transformation Techniques

  • T. R. Vijaya LakshmiEmail author
  • Ch. Venkata Krishna Reddy
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)


Recognition of objects, as well as identification and localization of three dimensional environments is a part of computer vision. In the proposed study the objects in a war field are classified. Images extracted from the video stream are utilized to classify the objects of interest (soldier, tree and tank). Distinguishable features of the objects are extracted and these features are used to identify and classify the objects. The SIFT algorithm used to find the features from such images are processed to classify the objects such as soldier, tank, tree, etc. The key points generated using SIFT algorithm are used to build a pyramid. The features extracted from these pyramids using various transforms are further classified in this work.


Object identification SIFT key points Transformation techniques 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • T. R. Vijaya Lakshmi
    • 1
    Email author
  • Ch. Venkata Krishna Reddy
    • 2
  1. 1.MGITGandipetIndia
  2. 2.CBITGandipetIndia

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