A review of handcrafted computer vision and deep learning approaches for food recognition

• Main Authors: Mohd Norhisham Razali, Noridayu Manshor
• Format: Article
• Language: English; English
• Published: Science and Engineering Research Support Society 2020
• Subjects: T Technology (General)
• Online Access: https://eprints.ums.edu.my/id/eprint/26828/1/A%20review%20of%20handcrafted%20computer%20vision%20and%20deep%20learning%20approaches%20for%20food%20recognition-abstract.pdf; https://eprints.ums.edu.my/id/eprint/26828/2/A%20Review%20of%20Handcrafted%20Computer%20Vision%20and%20Deep%20Learning%20Approaches%20for%20Food%20Recognition.pdf; https://eprints.ums.edu.my/id/eprint/26828/; http://sersc.org/journals/index.php/IJAST/article/view/31712/17502
• Institution: Universiti Malaysia Sabah

Food recognition is an emerging research area in object recognition which has grown substantially in the era of the smartphones and social media services. The advancement of mobile phone camera at a reasonable cost has allowed people to photograph their food intake and to share their excitement when...