Image analysis by interesting point detection

Image analysis by interesting point detection

The fundamental objective of this paper is to compare and contrast against two detectors on interest point image recognition. The two different detectors using in this report are ROLG (Rank Order Laplacian of Gaussian) filter, a weighted rank order filter and SIFT (Scale-Invariant Feature Transform)...

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Bibliographic Details
Main Author: Thiri, Thinn
Other Authors: Jiang Xudong
Format: Final Year Project
Language:English
Published: 2015
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/62073
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Institution: Nanyang Technological University
Language: English
Description
Summary:The fundamental objective of this paper is to compare and contrast against two detectors on interest point image recognition. The two different detectors using in this report are ROLG (Rank Order Laplacian of Gaussian) filter, a weighted rank order filter and SIFT (Scale-Invariant Feature Transform) detector, linear filter based detectors. Experiments on face recognition using face images, different types of images had conducted and studied to find out the limitations, robustness, performance, advantages and disadvantages of two different detectors approach.

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