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A volumetric approach for interactive 3D modeling

Dragan Tubic, Patrick Hébert, Denis Laurendeau
2003 Computer Vision and Image Understanding  
While the reconstructed surface is described in its implicit form as a signed distance field within a volume, registration information for matching partial surfaces is encoded in the same volume as the  ...  The close integration and performance gain improve interactivity in the process of modeling from range image acquisition to surface reconstruction.  ...  Acknowledgments The authors wish to express their gratitude to the Fonds de Recherche sur la Nature et les Technologies and the Natural Sciences and Engineering Research Council of Canada for supporting  ... 
doi:10.1016/j.cviu.2003.07.001 fatcat:5pliddx7w5frrdin4cg6wfvo3m

Terminological Logics [chapter]

2014 Computer Vision  
In learning, the goal is to build a model for the texture content of each texture class present in the training data, which generally comprises of images with known class labels.  ...  The texture content of the training images is analyzed with the chosen texture operators, yielding a set of textural features for each image.  ...  In: Proceedings of the SIGGRAPH'87, Anaheim, pp 163-169 11. Masuda T (2003) Registration and integration of multi- ple range images by matching signed distance fields for object shape modeling.  ... 
doi:10.1007/978-0-387-31439-6_100264 fatcat:u26zwlmrsrcl3ebq2eghydmbdi

The 3D Model Acquisition Pipeline

Fausto Bernardini, Holly Rushmeier
2002 Computer graphics forum (Print)  
We look at the fundamental problems of range image registration, line-of-sight errors, mesh integration, surface detail and color, and texture mapping.  ...  In the area of mesh integration, that is finding a single mesh joining the data from all scans, we compare various methods for computing interpolating and approximating surfaces.  ...  Registration For all but the simplest objects, multiple range scans must be acquired to cover the whole object's surface.  ... 
doi:10.1111/1467-8659.00574 fatcat:guniecbjrzagbnk57h3upaf65a

The 3D Model Acquisition Pipeline [article]

Fausto Bernardini, Holly Rushmeier
2000 Eurographics State of the Art Reports  
We look at the fundamental problems of range image registration, line-of-sight errors, mesh integration, surface detail and color, and texture mapping.  ...  In the area of mesh integration, that is finding a single mesh joining the data from all scans, we compare various methods for computing interpolating and approximating surfaces.  ...  Registration For all but the simplest objects, multiple range scans must be acquired to cover the whole object's surface.  ... 
doi:10.2312/egst.20001027 fatcat:of2glzaegffsvdan5anmisjxzi

3D surface modeling from curves

D TUBI
2004 Image and Vision Computing  
Traditional approaches for surface reconstruction from range data require that the input data be either range images or unorganized sets of points.  ...  The proposed modeling approach combines surface reconstruction and curve registration into a unified procedure.  ...  Besides geometric fusion, Masuda [13] merges registration and reconstruction by aligning signed distance fields. This approach only applies if the input range data is a set of surface patches.  ... 
doi:10.1016/s0262-8856(04)00059-9 fatcat:f325yacmtncj7nmljco2jzhhy4

3D surface modeling from curves

Dragan Tubić, Patrick Hébert, Denis Laurendeau
2004 Image and Vision Computing  
Traditional approaches for surface reconstruction from range data require that the input data be either range images or unorganized sets of points.  ...  The proposed modeling approach combines surface reconstruction and curve registration into a unified procedure.  ...  Besides geometric fusion, Masuda [13] merges registration and reconstruction by aligning signed distance fields. This approach only applies if the input range data is a set of surface patches.  ... 
doi:10.1016/j.imavis.2004.03.006 fatcat:v2pxix3urrb2voqqed52tjhb64

Integration of active and passive sensing techniques for representing three-dimensional objects

Y.F. Wang, J.K. Aggarwal
1989 IEEE Transactions on Robotics and Automation  
Gérard Medioni, for all his support, encouragement and patience during all these years of my study at USC.  ...  ACKNOWLEDGEMENTS First of all, I thank my advisor and chairman of my dissertation committee, Dr.  ...  Integration of Multiple Range Images for Compact Objects In this section, we present an application of the range image registration algorithm to the modeling of compact objects.  ... 
doi:10.1109/70.88061 fatcat:qbpmsucx6rd4fdqwpjhsmjn5ui

Anatomical Modeling with Fuzzy Implicit Surface Templates: Application to Automated Localization of the Heart and Lungs in Thoracic MR Volumes

Boudewijn P.F. Lelieveldt, Milan Sonka, Lizann Bolinger, Thomas D. Scholz, Hein Kayser, Rob van der Geest, Johan H.C. Reiber
2000 Computer Vision and Image Understanding  
In this paper, a novel model driven segmentation approach for thoracic MR-images is presented.  ...  The major organs in the thorax are described in a three-dimensional analytical model template by combining a set of fuzzy implicit surfaces by means of Constructive Solid Geometry, and formulating model  ...  image registration by integrating prior knowledge about local image gradient direction and polarity in the matching energy function.  ... 
doi:10.1006/cviu.2000.0864 fatcat:kdpum4dj7bevdeyemw3infkwo4

An Accurate and Robust Range Image Registration Algorithm for 3D Object Modeling

Yulan Guo, Ferdous Sohel, Mohammed Bennamoun, Jianwei Wan, Min Lu
2014 IEEE transactions on multimedia  
Abstract-Range image registration is a fundamental research topic for 3D object modeling and recognition.  ...  2014) An accurate and robust range image registration algorithm for 3D object modeling. IEEE Transactions on Multimedia, 16 (5). pp. 1377-1390.  ...  Masuda [39] represented the input range images with Signed Distance Field (SDF) samples, and simultaneously performed multi-view registration and integration based on the SDF samples.  ... 
doi:10.1109/tmm.2014.2316145 fatcat:6sqnned3undn5jalbt7gm5paiq

A Comparison of Shape Matching Methods for Contour Based Pose Estimation [chapter]

Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel
2006 Lecture Notes in Computer Science  
For the comparison, we focus on the application of shape matching in the context of pose estimation of 3-D objects by means of their silhouettes in stereo camera views.  ...  In this paper, we analyze two conceptionally different approaches for shape matching: the well-known iterated closest point (ICP) algorithm and variational shape registration via level sets.  ...  They ensure an even distribution of registration errors between overlapping views and report errors less than the range image measurement noise for multiple views of complex objects.  ... 
doi:10.1007/11774938_21 fatcat:wmrkn7xr7jbltbd2sq42lnzabu

Zippered polygon meshes from range images

Greg Turk, Marc Levoy
1994 Proceedings of the 21st annual conference on Computer graphics and interactive techniques - SIGGRAPH '94  
Range imaging offers an inexpensive and accurate means for digitizing the shape of three-dimensional objects.  ...  We present a method for combining a collection of range images into a single polygonal mesh that completely describes an object to the extent that it is visible from the outside.  ...  Acknowledgments We thank David Addleman, George Dabrowski and all the other people at Cyberware for the use of a scanner and for educating us about the issues involved in the technology.  ... 
doi:10.1145/192161.192241 dblp:conf/siggraph/TurkL94 fatcat:yvv2w3hgjje47gokaryrxwfq5m

A Survey Of Free-Form Object Representation and Recognition Techniques

Richard J. Campbell, Patrick J. Flynn
2001 Computer Vision and Image Understanding  
The availability of detailed data describing the shape of an object offers the computer vision practitioner new ways to recognize and localize free-form objects.  ...  This survey reviews recent literature on both the 3D model building process and techniques used to match and identify free-form objects from imagery.  ...  at The Ohio State University and by the School of Electrical Engineering and Computer Science at Washington State University.  ... 
doi:10.1006/cviu.2000.0889 fatcat:lujlciputzdb7e3pjhm4sfknfy

Adaptively Merging Large-Scale Range Data with Reflectance Properties [chapter]

Ryusuke Sagawa, Ko Nishino, Katsushi Ikeuchi
2008 Digitally Archiving Cultural Objects  
We construct an integrated mesh model of the target object in adaptive resolution, taking into account the geometric and/or photometric attributes associated with the range images.  ...  In this paper, we tackle the problem of geometric and photometric modeling of large intricately shaped objects. Typical target objects we consider are cultural heritage objects.  ...  Thus, the main issue of modeling real objects is creating the entire model of an object from multiple range images.  ... 
doi:10.1007/978-0-387-75807_10 fatcat:3qtiqstzy5arvnsizgoo74gqwq

Adaptively merging large-scale range data with reflectance properties

R. Sagawa, K. Nishino, K. Ikeuchi
2005 IEEE Transactions on Pattern Analysis and Machine Intelligence  
We construct an integrated mesh model of the target object in adaptive resolution, taking into account the geometric and/or photometric attributes associated with the range images.  ...  In this paper, we tackle the problem of geometric and photometric modeling of large intricately shaped objects. Typical target objects we consider are cultural heritage objects.  ...  Thus, the main issue of modeling real objects is creating the entire model of an object from multiple range images.  ... 
doi:10.1109/tpami.2005.46 pmid:15747794 fatcat:oqwvsppowneb7iogsiw4kb6fhq

Nonlinear Registration and Template-Driven Segmentation [chapter]

Simon Warfield, Andre Robatino, Joachim Dengler, Ferenc Jolesz, Ron Kikinis
1999 Brain Warping  
Acknowledgements This investigation was supported by grants P01 CA67165-01A1 (FJ, RK), P01 AG4953-14 (RK) and BES 9631710 (RK).  ...  This investigation was supported (in part) by a Postdoctoral Fellowship from the National Multiple Sclerosis Society (SW).  ...  The surfaces of the objects were matched by computing a displacement vector for each triangle vertex on the basis of this distance function.  ... 
doi:10.1016/b978-012692535-7/50080-x fatcat:yvg63jiblzgopdogu46evqtkqy
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