Results 21 to 30 of about 20,018,605 (292)
MVSAnywhere: Zero-Shot Multi-View Stereo
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Computing accurate depth from multiple views is a fundamental and longstanding challenge in computer vision. However, most existing approaches do not generalize well across different domains and scene types (e.g. indoor vs. outdoor). Training a general-purpose multi-view stereo model is challenging and raises several questions, e.g.
Sergio Izquierdo +8 more
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Multi-View Stereo with Transformer
CoRR, 2021 This paper proposes a network, referred to as MVSTR, for Multi-View Stereo (MVS). It is built upon Transformer and is capable of extracting dense features with global context and 3D consistency, which are crucial to achieving reliable matching for MVS. Specifically, to tackle the problem of the limited receptive field of existing CNN-based MVS methods,
Jie Zhu +5 more
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Assisted Multi-view Stereo Reconstruction [PDF]
2013 International Conference on 3D Vision, 2013 Multiview stereo reconstruction methods can provide impressive results in a number of applications. Nevertheless, when trying to apply the state-of-the-art methods in the case of a more structured 3D acquisition, the lack of feedback on the quality of the reconstruction during the photo shooting can be problematic.
Dellepiane M +3 more
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Deep Multi-View Stereo Gone Wild [PDF]
2021 International Conference on 3D Vision (3DV), 2021 Deep multi-view stereo (MVS) methods have been developed and extensively compared on simple datasets, where they now outperform classical approaches. In this paper, we ask whether the conclusions reached in controlled scenarios are still valid when working with Internet photo collections.
Darmon, Francois +4 more
openaire +3 more sources
HEVC Based Frame Interleaved Coding Technique for Stereo and Multi-View Videos
Information, 2022 The standard HEVC codec and its extension for coding multiview videos, known as MV-HEVC, have proven to deliver improved visual quality compared to its predecessor, H.264/MPEG-4 AVC’s multiview extension, H.264-MVC, for the same frame resolution with up ...
Bruhanth Mallik +3 more
doaj +1 more source
Progressive Prioritized Multi-view Stereo [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 This work proposes a progressive patch based multiview stereo algorithm able to deliver a dense point cloud at any time. This enables an immediate feedback on the reconstruction process in a user centric scenario. With increasing processing time, the model is improved in terms of resolution and accuracy.
Locher, Alex +2 more
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Facetwise Mesh Refinement for Multi- View Stereo [PDF]
2020 25th International Conference on Pattern Recognition (ICPR), 2021 Mesh refinement is a fundamental step for accurate Multi-View Stereo. It modifies the geometry of an initial manifold mesh to minimize the photometric error induced in a set of camera pairs. This initial mesh is usually the output of volumetric 3D reconstruction based on min-cut over Delaunay Triangulations. Such methods produce a significant amount of
Andrea Romanoni, Matteo Matteucci
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GIScience & Remote Sensing, 2022 The PlanetScope satellite constellation has over 130 Dove satellites running 24/7, which collect weekly and even daily images globally at 3–5 m resolution.
Debao Huang, Yang Tang, Rongjun Qin
doaj +1 more source
Self-correction of 3D reconstruction from multi-view stereo images [PDF]
, 2009 We present a self-correction approach to improving the 3D reconstruction of a multi-view 3D photogrammetry system. The self-correction approach has been able to repair the reconstructed 3D surface damaged by depth discontinuities.
Ju, X +11 more
core +1 more source
MVPSNet: Fast Generalizable Multi-view Photometric Stereo [PDF]
, 2023 We propose a fast and generalizable solution to Multi-view Photometric Stereo (MVPS), called MVPSNet. The key to our approach is a feature extraction network that effectively combines images from the same view captured under multiple lighting conditions ...
Zhao, Dongxu +4 more
core +1 more source