3D Edge Sketch from Multiview Images

Yilin Zheng, Chiang-Heng Chien, Ricardo Fabbri, Benjamin Kimia; Proceedings of the Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 3196-3205

The semantic reconstruction of a scene relies in part on the curvilinear structure inherent in images. The recovery of curvilinear structure is not only key to the representation of objects via ridges and other object curves but is also critical to the reconstruction from texture-poor images which lack a sufficient number of features. Prior methods advocate for the recovery of curve segments from images and reconstructing these into an organized collection of 3D curve segments often referred to as the 3D curve sketch which serves as the basis for further reconstruction of curves and surfaces. Observing that the process of edge grouping can lead to fictitious curves or missing veridical groupings this paper advocates for a reconstruction of curvilinear structure directly from image edges in the form of a 3D edge sketch. The multiview reconstruction of edges faces significant combinatorial challenges which are effectively addressed in this paper. We demonstrate through experiments that the 3D edge sketch recovers a vast majority of the curvilinear structure and is a reliable substrate from which 3D curves can be constructed.