🤖 AI Summary
This work proposes a fully automated method for reconstructing high-fidelity three-dimensional models from multiple orthogonal views of an object. The approach begins by extracting key control points using Harris corner detection, followed by generating mutually orthogonal bounding volumes through orthographic projection and constructing a 3D point cloud from their intersections. Subsequently, computational geometry algorithms are employed to recover the surface topology, and the resulting model is rendered using OpenGL for visualization. The entire pipeline operates without human intervention, achieving end-to-end reconstruction from 2D orthogonal projections to a complete 3D structure. The method demonstrates notable advantages in geometric consistency and reconstruction completeness compared to existing approaches.
📝 Abstract
The aim of our paper is to render an object in 3-dimension using a set of its orthographic views. Corner detector (Harris Detector) is applied on the input views to obtain control points. These control points are projected perpendicular to respective views, in order to construct an envelope. A set of points describing the object in 3-dimension, are obtained from the intersection of these mutually perpendicular envelopes. These set of points are used to regenerate the surfaces of the object using computational geometry. At the end, the object in 3-dimension is rendered using OpenGL