This paper reports on a novel template-free monocular non-rigid surface reconstruction approach. Existing techniques using motion and deformation cues rely on multiple prior assumptions, are often computationally expensive and do not perform equally well across the variety of data sets. In contrast, the proposed Scalable Monocular Surface Reconstruction (SMSR) combines strengths of several algo...

This paper proposes a single multiresolution framework for both surface "tting and discontinuities identi"cation in the surface reconstruction problem. In particular, the Mallat}Zhong wavelet transform modulus maxima (WTMM) representation is employed for representing the surface which allows the discontinuity detection and surface "tting to be carried out simultaneously in a cooperative manner ...

We propose a new approach for reconstructing a 2-manifold from a point sample in R3. Compared to previous algorithms, our approach is novel in that it throws away geometry information early on in the reconstruction process and mainly operates combinatorially on a graph structure. Furthermore, it is very conservative in creating adjacencies between samples in the vicinity of slivers, still we ca...

1. Briefly summarize the paper’s contributions. Does it address a new problem? Does it present a new approach? Does it show new types of results?  [AS] This paper presents an algorithm that produces a simplicial surface, approximating a manifold surface M, from an unorganized set of points containing little to no information about M. It presents a new approach to the problem of recovering surf...

In this paper we discuss the evaluation problem of surface reconstruction algorithms following the methodologies of static, dynamic and photometric stereo analysis. It is important to answer such questions as 1) For what kind of surfaces and 3-D objects an algorithm behaves either well or bad? 2) How accurate are the reconstruction results of an algorithm under specified circumstances? What mea...

Man-made objects usually exhibit descriptive curved features (i.e., curve networks). The curve network of an object conveys its high-level geometric and topological structure. We present a framework for extracting feature curve networks from unstructured point cloud data. Our framework first generates a set of initial curved segments fitting highly curved regions. We then optimize these curved ...

A microscopic kinetic model for the alpha <==> beta [e.g., hex <==> 1x1 for Pt(100) and 1x2 <==> 1x1 for Pt(110)] surface reconstruction is investigated by means of the mean field approximation and Monte Carlo simulations. It considers homogeneous phase nucleation that induces small surface phase defects. These defects can grow or decline via phase border propagation in dependence on the chemic...

Surface reconstruction is to find a surface from a given finite set of geometric sample value. Surface reconstructing 3D surfaces from point samples is a well studied problem in computer graphics. All algorithms, aim to solve this problem must overcome several difficulties. One of which is related to the size and quality of the input, under sampling, and noise. The main aim of this research pap...

We present a streaming method for reconstructing surfaces from large data sets generated by a laser range scanner using wavelets. Wavelets provide a localized, multiresolution representation of functions and this makes them ideal candidates for streaming surface reconstruction algorithms. We show how wavelets can be used to reconstruct the indicator function of a shape from a cloud of points wi...