Please use this identifier to cite or link to this item:
Title: Image analysis by interesting point detection
Authors: Thiri, Thinn
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2014
Abstract: 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.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP Final Report_Thinn Thiri_P3003-131.pdf
  Restricted Access
Final Year Project Report2.26 MBAdobe PDFView/Open

Page view(s) 50

checked on Oct 19, 2020

Download(s) 50

checked on Oct 19, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.