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FOR OBJECT RECONSTRUCTION

by Didier Gemmerlr, Alain Filbois
"... Given a scrio of trinocular it~iirges of an object, wc: have cl~:velopcd a trrotlrod for Luildilrg 31) L.'accts arid 31) seg-n~cn t s nrodel of the object. Frorn each triplet, a partial rlescription of tlre object, called 3D View, is extracted. I+OIII the set of all extracted 3D Facets, a strat ..."
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strategy for guiding the object reconstruction, based on a statistical ~ u e t l ~ o d is developed. A 3D Mntclling Builder conlputes

Transparent and Specular Object Reconstruction

by Ivo Ihrke, Kiriakos N. Kutulakos, Hendrik P. A. Lensch, Marcus Magnor, Wolfgang Heidrich , 2010
"... 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 ..."
Abstract - Cited by 20 (3 self) - Add to MetaCart
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

Integrating Models for Object Reconstruction

by Wolfram Willuhn
"... Many approaches to image understanding and object recognition employ either a single model or more than one but only one for each level of processing and processing takes place unidirectionally either bottom-up or top-down, thus restricting the flow of information between models of neighboring le ..."
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Models for Object Reconstruction 3 1 Introduction Computer vision tries to answer questi...

Reconstruction and Representation of 3D Objects with Radial Basis Functions

by J. C. Carr, R. K. Beatson, J. B. Cherrie, T. J. Mitchell, W. R. Fright, B. C. McCallum, T. R. Evans - Computer Graphics (SIGGRAPH ’01 Conf. Proc.), pages 67–76. ACM SIGGRAPH , 2001
"... 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 al ..."
Abstract - Cited by 505 (1 self) - Add to MetaCart
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

Symmetry-seeking models and 3D object reconstruction

by Demetri Terzopoulos, Andrew Witkin, Michael Kass - International Journal of Computer Vision , 1987
"... We propose models of 3D shape which may be viewed as deformable bodies composed of simulated elastic material. In contrast to traditional, purely geometric models of shape, deformable models are active--their shapes change in response to externally applied forces. We develop a deformable model for 3 ..."
Abstract - Cited by 136 (4 self) - Add to MetaCart
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

Surface reconstruction from unorganized points

by Hugues Hoppe, Tony DeRose, Tom Duchamp, John McDonald, Werner Stuetzle - COMPUTER GRAPHICS (SIGGRAPH ’92 PROCEEDINGS) , 1992
"... We describe and demonstrate an algorithm that takes as input an unorganized set of points fx1�:::�xng IR 3 on or near an unknown manifold M, and produces as output a simplicial surface that approximates M. Neither the topology, the presence of boundaries, nor the geometry of M are assumed to be know ..."
Abstract - Cited by 815 (8 self) - Add to MetaCart
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.

On moving object reconstruction by moments

by Stuart P. Prismall, Mark S. Nixon, John N. Carter - Proceedings of British Machine Vision Conference, 2002 , 2002
"... 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 or intermedi ..."
Abstract - Cited by 4 (2 self) - Add to MetaCart
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

KINECT-BASED OBJECT RECONSTRUCTION by

by Andrew R. Price, Kenneth G. Ricks, Committee Chair, Jeff Jackson, Monica D. Anderson , 2012
"... 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 of ..."
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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

Object Reconstruction with Photometric Stereo

by unknown authors
"... 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 ..."
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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.

General Object Reconstruction based on Simplex Meshes

by Hervé Delingette , 1999
"... In this paper, we propose a general tridimensional reconstruction algorithm of range and volumetric images, based on deformable simplex meshes. Simplex meshes are topologically dual of triangulations and have the advantage of permitting smooth deformations in a simple and e cient manner. Our reconst ..."
Abstract - Cited by 134 (18 self) - Add to MetaCart
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
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