Analysis of SURF and SIFT representations to recognize food objects

The social media services such as Facebook, Instagram and Twitter has attracted millions of food photos to be uploaded every day since its inception. Automatic analysis on food images are beneficial from health, cultural and marketing aspects. Hence, recognizing food objects using image processing a...

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Bibliographic Details
Main Authors: Razali, Mohd Norhisham, Manshor, Noridayu, Abdul Halin, Alfian, Mustapha, Norwati, Yaakob, Razali
Format: Article
Language:English
Published: Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka 2017
Online Access:http://psasir.upm.edu.my/id/eprint/60860/1/Analysis%20of%20SURF%20and%20SIFT%20representations%20to%20recognize%20food%20objects.pdf
http://psasir.upm.edu.my/id/eprint/60860/
http://journal.utem.edu.my/index.php/jtec/article/view/2774
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