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3DCapture: 3D Reconstruction for a Smartphone
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016We propose a method of reconstruction of 3D representation (a mesh with a texture) of an object on a smartphone with a monocular camera. The reconstruction consists of two parts – real-time scanning around the object and postprocessing. At the scanning stage IMU sensors data are acquired along with tracks of features in video.
Oleg Muratov +5 more
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3D-Copies of Surface-Reconstructed 3D-Models
1991An automated surface-reconstruction procedure to build 3D-copies of 3D-objects has been developed. The 3D-reconstruction is derived from several adjacent Magnetic Resonance Imaging (MRI) slices where the object outer boundaries are first detected, thinned and finally vectorized using Freeman chain-encoding techniques.
Abdelhakim Ghezal, Peter Stucki
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Dense Semantic 3D Reconstruction
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017Both image segmentation and dense 3D modeling from images represent an intrinsically ill-posed problem. Strong regularizers are therefore required to constrain the solutions from being 'too noisy'. These priors generally yield overly smooth reconstructions and/or segmentations in certain regions while they fail to constrain the solution sufficiently in
Christian Hane +3 more
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Multiview 3D reconstruction in geosciences
Computers & Geosciences, 2012Multiview three-dimensional (3D) reconstruction is a technology that allows the creation of 3D models of a given scenario from a series of overlapping pictures taken using consumer-grade digital cameras. This type of 3D reconstruction is facilitated by freely available software, which does not require expert-level skills.
Massimiliano Favalli +4 more
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Aspects of 3D shape reconstruction
SPIE Proceedings, 2009The ability to reconstruct the three dimensional (3D) shape of an object from multiple images of that object is an important step in certain computer vision and object recognition tasks. The images in question can range from 2D optical images to 1D radar range profiles.
Peter F. Stiller +2 more
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3D reconstruction of a disappeared museum
2014 International Conference on Virtual Systems & Multimedia (VSMM), 2014The paper aims to present methods used and difficulties encountered in an experiment of 3D reconstruction of a disappeared museum: The Alexandre Lenoir's museum of French Monuments. This experiment is a part of a larger research whose objective is to pool knowledge of art historians, museum curators and computer scientists in order to develop digital ...
Autran, Camille, Guena, Francois
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Distributed RANSAC for 3D reconstruction
SPIE Proceedings, 2008Many low or middle level 3D reconstruction algorithms involve a robust estimation and selection step by which parameters of the best model are estimated and inliers fitting this model are selected. The RANSAC algorithm is the most widely used robust algorithm for this step. However, this robust algorithm is computationally demanding.
Mai Xu, Maria Petrou
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An autonomous sensor for 3D reconstruction
1998We describe an automated approach to the reconstruction of 3D interiors from laser range data and digital images. This is achieved using a scanning laser rangefinder and digital camera that are mounted on an autonomous mobile platform known as the AEST.
David Leevers +14 more
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Reconstruction or Retrieval? Investigating Neural 3D Reconstruction
2021 36th International Conference on Image and Vision Computing New Zealand (IVCNZ), 2021Bhargava Gowda +2 more
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3D reconstruction of spatial expression
Nature Methods, 2022Yingxin Lin, Jean Y. H. Yang
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