Implementation of Customized Adaptive Algorithms for Visualization of Stereoscopic Face Mask
Mangena Venu Madhavan, Rahul Malik · 2021 International Conference on Emerging Smart Computing and Informatics (ESCI) · 2021
Computer vision and Image processing are some of the most important technical aspects in the domain of object detection and reconstruction. These concepts provide solutions not only restricted to the engineering domain but also across the various domains. In this article, the proposed framework mainly deals with the scenario of the generation of face masks in 3D view with the aid of selfie images using computer vision and image processing methodologies. The proposed framework consists of two kinds of algorithms that generate face mak with the aid of single and multiple images respectively. Those adaptive algorithms are discussed along with their implementation. The adaptive algorithm utilized for multiple image input names as MIIO3D and the adaptive algorithm for single image input named as SIIO3D implementation for the construction of an efficient 3D face mask. The input images considered are from real-time aspects. Data visualization and their comparisons made with the aid of Tableau.