Coarse-to-fine surface reconstruction from silhouettes and range data using mesh deformation

2010-03-01
We present a coarse-to-fine surface reconstruction method based on mesh deformation to build watertight surface models of complex objects from their silhouettes and range data. The deformable mesh, which initially represents the object visual hull, is iteratively displaced towards the triangulated range surface using the line-of-sight information. Each iteration of the deformation algorithm involves smoothing and restructuring operations to regularize the surface evolution process. We define a non-shrinking and easy-to-compute smoothing operator that fairs the surface separately along its tangential and normal directions. The mesh restructuring operator, which is based on edge split, collapse and flip operations, enables the deformable mesh to adapt its shape to the object geometry without suffering from any geometrical distortions. By imposing appropriate minimum and maximum edge length constraints, the deformable mesh, hence the object surface, can be represented at increasing levels of detail. This coarse-to-fine strategy, that allows high resolution reconstructions even with deficient and irregularly sampled range data, not only provides robustness, but also significantly improves the computational efficiency of the deformation process. We demonstrate the performance of the proposed method on several real objects. (C) 2009 Elsevier Inc. All rights reserved.
COMPUTER VISION AND IMAGE UNDERSTANDING

Suggestions

Shape from silhouette using topology-adaptive mesh deformation
Yemez, Y.; Sahillioğlu, Yusuf (2009-10-01)
We present a computationally efficient and robust shape from silhouette method based on topology-adaptive mesh deformation, which can produce accurate, smooth, and topologically consistent 3D mesh models of complex real objects. The deformation scheme is based on the conventional snake model coupled with local mesh transform operations that control the resolution and uniformity of the deformable mesh. Based on minimum and maximum edge length constraints imposed on the mesh, we describe a fast collision dete...
Extraction of 3D transform and scale invariant patches from range scans
Akagunduz, Erdern; Ulusoy, İlkay (2007-06-22)
An algorithm is proposed to extract transformation and scale invariant 3D fundamental elements from the surface structure of 3D range scan data. The surface is described by mean and Gaussian curvature values at every data point at various scales and a scale-space search is performed in order to extract the fundamental structures and to estimate the location and the scale of each fundamental structure. The extracted fundamental structures can later be used as nodes in a topological graph where the links betw...
Coarse-to-Fine Combinatorial Matching for Dense Isometric Shape Correspondence
Sahillioğlu, Yusuf; Yemez, Y. (2011-08-01)
We present a dense correspondence method for isometric shapes, which is accurate yet computationally efficient. We minimize the isometric distortion directly in the 3D Euclidean space, i.e., in the domain where isometry is originally defined, by using a coarse-to-fine sampling and combinatorial matching algorithm. Our method does not require any initialization and aims to find an accurate solution in the minimum-distortion sense for perfectly isometric shapes. We demonstrate the performance of our method on...
Image-based extraction of material reflectance properties of a 3D rigid object
Erdem, ME; Erdem, IA; Yilmaz, UG; Atalay, Mehmet Volkan (2004-01-01)
In this study, an appearance reconstruction method based on extraction of material reflectance properties of a three-dimensional (3D) object from its two-dimensional (2D) images is explained. One of the main advantages of this system is that the reconstructed object can be rendered in real-time with photorealistic quality in varying illumination conditions. The reflectance of the object is decomposed into diffuse and specular components. While the diffuse component is stored in a global texture, the specula...
Plasmonic-photonic arrays with aperiodic spiral order for ultra-thin film solar cells
Trevino, Jacob; Forestiere, Carlo; Dİ MARTİNO, Giuliana; Yerci, Selçuk; Priolo, Francesco; Dal Negro, Luca (2012-05-07)
We report on the design, fabrication and measurement of ultrathin film Silicon On Insulator (SOI) Schottky photo-detector cells with nanostructured plasmonic arrays, demonstrating broadband enhanced photocurrent generation using aperiodic golden angle spiral geometry. Both golden angle spiral and periodic arrays of various center-to-center particle spacing were investigated to optimize the photocurrent enhancement. The primary photocurrent enhancement region is designed for the spectral range 600nm-950nm, w...
Citation Formats
Y. Sahillioğlu and Y. Yemez, “Coarse-to-fine surface reconstruction from silhouettes and range data using mesh deformation,” COMPUTER VISION AND IMAGE UNDERSTANDING, vol. 114, no. 3, pp. 334–348, 2010, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/97002.