strategy for guiding the object reconstruction, based on a statistical ~ u e t l ~ o d is developed. A 3D Mntclling Builder conlputes

This state of the art report covers reconstruction methods for transparent and specular objects or phenomena. While the 3D acquisition of opaque surfaces with lambertian reflectance is a well-studied problem, transparent, refractive, specular and potentially dynamic scenes pose challenging problems

Models for Object Reconstruction 3 1 Introduction Computer vision tries to answer questi...

We use polyharmonic Radial Basis Functions (RBFs) to reconstruct smooth, manifold surfaces from point-cloud data and to repair incomplete meshes. An object's surface is defined implicitly as the zero set of an RBF fitted to the given surface data. Fast methods for fitting and evaluating RBFs

develop a framework for 3D object reconstruction based on symmetry-seeking models. Instances of these models are formed from monocular image data through the action of external forces derived from the data. The forces proposed in this paper deform the model in space so that the shape of its projection

to be known in advance — all are inferred automatically from the data. This problem naturally arises in a variety of practical situations such as range scanning an object from multiple view points, recovery of biological shapes from two-dimensional slices, and interactive surface sketching.

Recent research using statistical moments to describe moving shapes through an image sequence has led to an interest in reconstructing moving shapes from their moment description. This paper discusses how the moment description through a series of frames might be used to predict missing

ii The Microsoft Kinect has recently grown to prominence as a widely used 3D sensor for both academics and hobbyists alike. This thesis presents a Kinect-oriented framework for reproducing physical objects using open or closed source software, GPU-accelerated hardware, and a 3D printer. Specifics

Photometric Stereo is a method for recovering a patch of surface from image data. The method involves reasoning about the image intensity values from several different images of a surface in a fixed view illuminated by different sources. This method directly measures surface orientation and recovers the distance to the surface at points corresponding to each pixel. We describe a system that is able to calibrate the lighting directions of the sources, find the best fit normal and albedo at each pixel and then to find a surface wich best matches the solved normals. 1.

reconstruction algorithm can handle surfaces without any restriction on their shape or topology. The di erent tasks performed during the reconstruction include the segmentation of given objects in the scene, the extrapolation of missing data, and the control of smoothness, density, and geometric quality