Enhanced Feature Descriptors for Detection of Underwater Objects
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 5
Abstract
The research paper focuses on identifying an object of underwater using feature set approach. The features extracted from an image are used as a reference to identify objects of videos. Enhanced Speeded up Robust Features are used for extraction of features from a reference image. The reference image may contain objects of different orientations, which are addressed with improvised Speeded up Robust Features Algorithm. The robust features extracted from a reference image are identified using the scaling and rotation techniques of objects interoperation. The objects in reference image may be smaller or bigger or the objects of reference image may be oriented with different angles are extracted with interest points using Enhanced Speeded-Up Robust Features. This Enhanced Speeded-Up Robust Features helps in identifying the interest points between a reference image and a target image. Further, the representation of image helps in searching the matching points between reference and target image. This process is repeated for all frames of a video using iterative operations as such the iterative operations takes place between a reference image consisting of objects and the sequence of frames of a video. Thus, it helps in identifying the feature points in videos.
Authors and Affiliations
Ravi Kumar Y B
Keywords
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- EP ID EP394216
- DOI 10.9790/9622-0805034447.
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