3D stereoscopic image pairs by depth-map generation

This work presents a new unsupervised technique aimed to generate stereoscopic views estimating depth information from a single input image. Using a single input image, vanishing lines/points are extracted using a few heuristics to generate an approximated depth map. The depth map is then used to ge...

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Veröffentlicht in:3D Data Processing, Visualization and Transmission S. 124 - 131
Hauptverfasser: Battiato, S., Capra, A., Curti, S., La Cascia, M.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 2004
Schlagworte:
Computer vision
Data mining
Data processing
Data visualization
Image classification
Image generation
Image reconstruction
Layout
Pipelines
Resumes
ISBN:9780769522234, 0769522238
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This work presents a new unsupervised technique aimed to generate stereoscopic views estimating depth information from a single input image. Using a single input image, vanishing lines/points are extracted using a few heuristics to generate an approximated depth map. The depth map is then used to generate stereo pairs. The overall method is well suited for real time application and works also on CFA (colour filtering array) data acquired by consumer imaging devices. Experimental results on a large dataset are reported.
ISBN:9780769522234
0769522238
DOI:10.1109/TDPVT.2004.1335185