title: Interactive High-Relief Reconstruction for Organic and Double-Sided Objects from a Photo.
abstract: We introduce an interactive user-driven method to reconstruct high-relief 3D geometry from a single photo. Particularly, we consider two novel but challenging reconstruction issues: i) common non-rigid objects whose shapes are organic rather than polyhedral/symmetric, and ii) double-sided structures, where front and back sides of some curvy object parts are revealed simultaneously on image. To address these issues, we develop a three-stage computational pipeline. First, we construct a 2.5D model from the input image by user-driven segmentation, automatic layering, and region completion, handling three common types of occlusion. Second, users can interactively mark-up slope and curvature cues on the image to guide our constrained optimization model to inflate and lift up the image layers. We provide real-time preview of the inflated geometry to allow interactive editing. Third, we stitch and optimize the inflated layers to produce a high-relief 3D model. Compared to previous work, we can generate high-relief geometry with large viewing angles, handle complex organic objects with multiple occluded regions and varying shape profiles, and reconstruct objects with double-sided structures. Lastly, we demonstrate the applicability of our method on a wide variety of input images with human, animals, flowers, etc.
authors.forename: Chih-Kuo
authors.initials: CK
authors.lastname: Yeh
authors.forename: Shi-Yang
authors.initials: SY
authors.lastname: Huang
authors.forename: Pradeep Kumar
authors.initials: PK
authors.lastname: Jayaraman
authors.forename: Chi-Wing
authors.initials: CW
authors.lastname: Fu
authors.forename: Tong-Yee
authors.initials: TY
authors.lastname: Lee