Vision-based wireframe modeling of prismatic trusses

Abstract To overcome the limitations of manual measurement in prismatic truss wireframe modeling, including low efficiency and high subjectivity, this study presents a vision-based modeling method. A measurement system that integrates stereo imaging, coded targets, and visual measurement algorithms is established. Through multi-view image acquisition and three-dimensional reconstruction, the system obtains the spatial coordinates of coded points on truss members. An iterative rigid transformation method with adaptive composite weighting is introduced to achieve robust registration and coordinate unification of multi-view point sets. The same weighting mechanism is further applied to plane and line fitting to determine the intersections on each side. On this basis, a parameterized geometric optimization is employed to correct the vertical-web intersections and ensure global consistency. An affine transformation is then used to align the diagonal-web intersections with the corrected main structure, resulting in a standardized wireframe model. Simulation results demonstrate that the main geometric parameters of the reconstructed wireframe are recovered with relative errors below 0.12%. Real-world experiments on different truss structures further validate the feasibility of the proposed method for close-range engineering measurement and standardized wireframe reconstruction.