UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2206576


Registration ID:
404578

Page Number

f600-f607

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Title

Crop and Drop using Salient Object Detection

Abstract

The crop and drop tool lets you to digitalize the real world objects around us. It is an innovative idea that allows the user to take photo and detect the object in the real world and drop the image into the desktop computer. This tool will make the job of users much easier, as they will be able to point their phone cameras at an object and copy-paste it on their computers, instead of taking a photo, editing it and then inserting the cut-out into the document. The tool uses Augmented Reality (AR) and machine learning algorithm to detect the objects and isolate the image so that the background is automatically removed. For detection of image and for removal the background an open-source technology called U2 Net is used and a computer vision algorithm called as Scale-invariant feature transform (SIFT) matches coordinates on the phone with the computer screen allowing you to place digital captures in specific locations on your computer screen. As a whole copy and paste your surroundings’ using AR is the quickest way to capture, extract and transfer anything around you. This tool reverses the process and brings physical things into the digital world.

Key Words

Augmented Reality, Computer vision, Background removal, Scale Invariant Feature Transform, Cleargrasp.

Cite This Article

"Crop and Drop using Salient Object Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.f600-f607, June-2022, Available :http://www.jetir.org/papers/JETIR2206576.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Crop and Drop using Salient Object Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppf600-f607, June-2022, Available at : http://www.jetir.org/papers/JETIR2206576.pdf

Publication Details

Published Paper ID: JETIR2206576
Registration ID: 404578
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: f600-f607
Country: Trichy, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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