Area
Digital Image Processing

Author
Ridhi Jindal

Org/Univ
Rayat Bahra University, Punjab, India

Keywords
SIFT, SURF, Keypoints, Scale, Descriptor, DoG.

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Co-authors

Ankit Singla, Manish Mittal

Abstract

This paper presents a study on SIFT (Scale Invariant Feature transform) which is a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection and SURF (Speeded-up Robust features) which is speeded up the SIFT’s detection process without scarifying the quality of the detected points. SURF approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster.

Cite this paper

IEEE
Ridhi Jindal, Ankit Singla, Manish Mittal. Local Feature based Descriptors and their Applications, International Journal of Advance Research, Ideas and Innovations in Technology, www.ijariit.com.

APA
Ridhi Jindal, Ankit Singla, Manish Mittal (2015). Local Feature based Descriptors and their Applications. International Journal of Advance Research, Ideas and Innovations in Technology, 1(2) www.ijariit.com.

MLA
Ridhi Jindal, Ankit Singla, Manish Mittal. "Local Feature based Descriptors and their Applications." International Journal of Advance Research, Ideas and Innovations in Technology 1.2 (2015). www.ijariit.com.
Area
Cloud Computing

Author
Shivani Sharma

Org/Univ
Bahra University, Punjab, India

Keywords
IAAS, Cloud Computing, Resource Allocation.

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Area
Mechanical Engineering

Author
Sahil Guleria

Org/Univ
Rayat & Bahra College of Engineering & BioTechnology, Punjab, India

Keywords
ANSYS, Load Stress, Workbench,Steel

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