Results 281 to 290 of about 305,000 (317)
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3D reconstruction of indoor environments
Proceedings of 3rd IEEE International Conference on Image Processing, 2002This paper presents a new 3D scene analysis system that automatically reconstructs the 3D model of real-world scenes from multiple range images acquired by a laser range finder on board of a mobile robot. The reconstruction is achieved through an integrated procedure including range data acquisition, geometrical feature extraction, planning the next ...
Vítor Sequeira +2 more
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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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Unconstrained 3D face reconstruction
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015This paper presents an algorithm for unconstrained 3D face reconstruction. The input to our algorithm is an “unconstrained” collection of face images captured under a diverse variation of poses, expressions, and illuminations, without meta data about cameras or timing.
Joseph Roth +2 more
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Unsupervised 3D Reconstruction Networks
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019In this paper, we propose 3D unsupervised reconstruction networks (3D-URN), which reconstruct the 3D structures of instances in a given object category from their 2D feature points under an orthographic camera model. 3D-URN consists of a 3D shape reconstructor and a rotation estimator, which are trained in a fully-unsupervised manner incorporating the ...
Geonho Cha, Minsik Lee 0001, Songhwai Oh
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Semantic 3D Reconstruction of Heads
2016We present a novel approach that jointly reconstructs the geometry of a human head and semantically segments it into labels such as skin, hair and eyebrows. In order to get faithful reconstructions from data captured in uncontrolled environments, we propose to adapt a recently introduced implicit volumetric surface normal based shape prior formulation.
Fabio Maninchedda +4 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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Crowdsourcing 3D Motion Reconstruction
2014Reconstructing 3D motions from 2D video recordings is a useful yet difficult task. In this paper, we present a crowdsourcing system for motion reconstruction. Our insight is that we may outsource motion reconstruction to indefinite users online by allowing the users to contribute their motions with popular motion sensors shipped with game consoles (e.g.
Yueh-Tung Chen +3 more
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SURFACE RECONSTRUCTION OF 3D OBJECTS
2006A priority driven based algorithm for surface reconstruction from a set of surface points is presented. It calculates the shape change at the boundary of mesh area and builds a priority queue for the advance front of mesh area according to the changes. Then, the mesh growing process is forced to propagate in reliable direction through the queue.
Xiaokun Li +2 more
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