Object Recognition Technique for 3D Random Images

An established method that has been researched for decades by the domains of computer vision, computer graphics, and machine learning is three-dimensional object recognition. Since 2015, convolutional neural networks (CNNs) have become more and more well-liked and have demonstrated exceptional performance so far. In this paper, the focus is on processing of any random image to recognize different objects contained in the image using coordinate geometry along the X, Y and Z coordinate axes. An innovative and groundbreaking 3D Object Recognition Technique has been proposed using Weiler Atherton Polygon Clipping along with visualization using 3D Image Rendering. Upon successful implementation of this technique, it can be further utilized in various domains of major industrial sectors across the globe.