Food Image 3D Reconstruction Using Image Processing

In this era of technology there are many systems which majorly depend on multi-view techniques. Many of these system are use in entertainment purpose, gaming system, mechanical designing, civil applications, medical applications, food volume estimation purpose. A novel system has been proposed to re...

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Bibliographic Details
Published in:2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) pp. 618 - 621
Main Authors: Gaikwad, Shweta K., Karwankar, Anil R.
Format: Conference Proceeding
Language:English
Published: IEEE 01.04.2019
Subjects:
3D reconstruction
AlexNet
Calibration
Feature extraction
Gray-scale
Hue Saturation Value (HSV)
Image recognition
Image reconstruction
Matrix laboratory (MATLAB)
Mesh
Three-dimensional displays
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Summary:In this era of technology there are many systems which majorly depend on multi-view techniques. Many of these system are use in entertainment purpose, gaming system, mechanical designing, civil applications, medical applications, food volume estimation purpose. A novel system has been proposed to recognize food using deep learning as well as volumetric 3D construction from where we can get area covered under actual food image. This proposed system would able to represent possible simple techniques for food images 3D reconstruction. These results can be mainly achieved volumetric estimation purpose. Present system is mainly divided into two parts of 3D modeling as: a] 3D volumetric reconstruction b] measurement calibration.
DOI:10.1109/ICOEI.2019.8862615