Real-Time Wall Detection and Coloring in Android Platform


Nadifi A., Göktaş B., Tonyali S.

International Online Conferences on Engineering and Natural Sciences, Gümüşhane, Turkey, 05 July 2021, pp.332

  • Publication Type: Conference Paper / Full Text
  • City: Gümüşhane
  • Country: Turkey
  • Page Numbers: pp.332
  • Abdullah Gül University Affiliated: Yes

Abstract

In this work, we demonstrate and implement an image processing algorithm adapted to Android platform for real time image segmentation, for tracking and coloring of walls. We use OpenCV robust library as well as the CameraX API for real-time frame processing. The algorithm allows the visualization of different colors realistically in the real world without having to physically paint the wall. The proposed application of the algorithm can be used by paint companies to allow their clients to visualize their paint virtually by only using their phone. Current existing solutions for the Android Platform only allow their users to change colors on static images. The novelty of our work is to offer same functionality in a live manner mimicking real life wall paint application to walls.