Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Zippered polygon meshes from range images
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Towards a General Multi-View Registration Technique
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
A volumetric method for building complex models from range images
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
An efficient volumetric method for building closed triangular meshes from 3-D image and point data
Proceedings of the conference on Graphics interface '97
New Geometric Methods for Computer Vision: An Application toStructure and Motion Estimation
International Journal of Computer Vision
Simultaneous registration of multiple range views for use in reverse engineering of CAD models
Computer Vision and Image Understanding - Special issue on CAD-based computer vision
Area-based matching for simultaneous registration of multiple 3-D profile maps
Computer Vision and Image Understanding
An Algorithm for Finding Best Matches in Logarithmic Expected Time
ACM Transactions on Mathematical Software (TOMS)
Geometric fusion for a hand-held 3D sensor
Machine Vision and Applications
Simultaneous registration of multiple corresponding point sets
Computer Vision and Image Understanding
Registering Multiview Range Data to Create 3D Computer Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding - Registration and fusion of range images
Robust meshes from multiple range maps
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Consensus Surfaces for Modeling 3D Objects from Multiple Range Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Unified Approach to Volumetric Registration and Integration of Multiple Range Images
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
3D registration of partially overlapping surfaces using a volumetric approach
Image and Vision Computing
Bayesian surface reconstruction via iterative scan alignment to an optimized prototype
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
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Range image registration and surface reconstruction have been traditionally considered as two independent processes where the latter relies on the results of the former. This paper presents a new approach to surface recovery from range images where the two processes are unified and performed in a common volumetric representation. 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 gradient of the distance field. This allows coupling of both reconstruction and registration and leads to an algorithm whose complexity is linear with respect to the number of images and the number of measured 3D points. The close integration and performance gain improve interactivity in the process of modeling from range image acquisition to surface reconstruction. The distances computed in the direction of filtered normals improve robustness while preserving the sharp details of the initial range images. It is shown that the integrated algorithm is tolerant to initial registration errors as well as to measurement errors. The paper describes the representation and formalizes the approach. Experimental results demonstrate performance advantages and tolerance to aforementioned types of errors.