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Wu et al., 2020 - Google Patents

Scfusion: Real-time incremental scene reconstruction with semantic completion

Wu et al., 2020

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Document ID
11259781271136908819
Author
Wu S
Tateno K
Navab N
Tombari F
Publication year
Publication venue
2020 International Conference on 3D Vision (3DV)

External Links

Snippet

Real-time scene reconstruction from depth data inevitably suffers from occlusion, thus leading to incomplete 3D models. Partial reconstructions, in turn, limit the performance of algorithms that leverage them for applications in the context of, eg, augmented reality …
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Classifications

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    • G06T2207/00Indexing scheme for image analysis or image enhancement
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    • G06T2207/10004Still image; Photographic image
    • G06T2207/10012Stereo images
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    • G06T2207/30196Human being; Person
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06T15/003D [Three Dimensional] image rendering
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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