Three-dimensional modeling, which involves creating representations of objects and surfaces, is commonly referred to as 3D modeling. In this study, a new method for generating 3D models from color images using point cloud generation is presented. In a three-dimensional context, a point cloud is a set of individual points. By using surface reconstruction algorithms, we demonstrate the ability to generate mesh structures from point clouds. This technique has the potential to improve the efficiency and accuracy of 3D modeling methods. Furthermore, this research includes a comparative assessment of various surface reconstruction algorithms and their performance in contrast to the established Poisson algorithm.