Generating 3D Meshes with 2D Image Segmentations

A high school student, Mason, contributed a detailed tutorial to the Roboflow blog, illustrating how to generate a 3D model of a vase from a 2D image through segmentation and mesh creation. The project utilizes Node.js, Three.js, and Roboflow’s inference tools to segment the edges of an image, calculate midline segments, and automatically generate a 3D vase mesh by layering different sized cones. The guide elaborates on building and training a vase segmentation model, setting up a client-side interface to process images, and using Three.js to construct and export the 3D mesh as a glTF file. Despite its limitations, such as assumptions about the vase's shape and perspective, the project showcases the potential of computer vision in innovative applications and offers possibilities for improvement, including reducing vertices and merging meshes.