Manifold-defect depth-map restoration for very low-cost S3D videos
| Autor: | Ji-Rong Wu, Din-Yuen Chan |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer Networks and Communications
Computer science business.industry Context (language use) Stereoscopy law.invention Discriminative model Hardware and Architecture Depth map law Media Technology Segmentation Computer vision Development (differential geometry) Artificial intelligence Enhanced Data Rates for GSM Evolution business Manifold (fluid mechanics) Software |
| Zdroj: | Multimedia Tools and Applications. 79:8863-8886 |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-018-6804-9 |
| Popis: | In this paper, the proposed algorithm provides a fluent and efficient method for repairing very-low quality depth maps of considerable manifold defects for low-cost stereoscopic 3D (S3D) photographing that such a depth map can be easily yielded by 1st-generation Kinect (Kinect-v1). The corresponding framework cascades two repairing portions named discriminative non-segmentation hole filling and edge rectification-by-deforming. The former can discriminatively fill a variety of depth-invalid holes with no need of practically making attribute-discrimination and target segmentation for depth holes. The main portions of the latter contain edge-shifting-rectification and texture-edge guided dual processing for tailoring possible twisted depth edges. Since the ingredients of proposed algorithm are compactly concatenated according to intimate context, most troublesome defects in Kinect-v1 depths can be tackled. Particularly, the proposed algorithm can obtain the restoring coherency for successive depth maps. A series of experimental results under various photographing scenarios can demonstrate that a single Kinect-v1 device can fast tell on the development of very low-cost S3D imaging tool by the proposed algorithm. |
| Databáze: | OpenAIRE |
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