This paper is published in Volume-5, Issue-2, 2019
Area
Image Processing
Author
Krishna Sai Joga
Co-authors
K. Kavya Sree, Navya Spandana, G. Gowri Pushpa
Org/Univ
Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India
Pub. Date
26 March, 2019
Paper ID
V5I2-1477
Publisher
Keywords
Object detection, SURF, Dimensional analysis, Pixel per metric, 3D reconstruction, Structure from motion

Citationsacebook

IEEE
Krishna Sai Joga, K. Kavya Sree, Navya Spandana, G. Gowri Pushpa. 3D reconstruction of regular objects from multiple 2D images using a reference object, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Krishna Sai Joga, K. Kavya Sree, Navya Spandana, G. Gowri Pushpa (2019). 3D reconstruction of regular objects from multiple 2D images using a reference object. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Krishna Sai Joga, K. Kavya Sree, Navya Spandana, G. Gowri Pushpa. "3D reconstruction of regular objects from multiple 2D images using a reference object." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

The dimensional analysis of an object from an image reduces a lot of burden for a user, like the traditional measuring tape method. Using the dimensions will make reconstruction of the 3D model of the real-time object easier. However, this method is not used in the current implementation. Dimensional analysis can also be helpful in online shopping where the user’s availability for fitting is not possible. 3D model replaces the fitting stage in online shopping. Once the dimensions of an object’s surface are found, it is easy to calculate surface areas, given surface areas we can calculate volume. But the calculation of volume requires more than one dimension of the object. In this paper, an approach using a reference object, whose real-time dimensions are already known is used. The whole process is divided into three tasks - Object detection using SURF algorithm, Dimensional Analysis of the 2D object using pixel per metric ratio given that there is a reference object on the same plane and 3D reconstruction using Structure from Motion algorithm.
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