SYSTEMATIC STUDY ON OBJECT DETECTION IN CLUTTERED ENVIRONMENT USING SIFT ALGORITHM
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 4
Abstract
Detection of objects in cluttered scenes is a basic challenge that has only recently been widely undertaken by computer vision systems. This paper proposes a novel method how to detect a particular object in cluttered scenes, given a reference image of the object. This paper presents an algorithm for detecting a specific object based on finding point correspondences between the reference and the target image. It can detect objects despite a scale change or in-plane rotation. It is also robust to small amount of out-of-plane rotation. The detailed procedures are implemented using MATLAB.
Authors and Affiliations
Sonam Soni
Keywords
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- EP ID EP149051
- DOI 10.5281/zenodo.49727
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