Abstract | ||
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While High Dynamic Range (HDR) image generation using computational approaches has seen widespread adoption in consumer photography, computational approaches for HDR video creation are only just beginning to emerge. In this paper, we present an algorithm for HDR video generation using short baseline camera arrays (cameras placed close together) with varying exposures. Our main contributions are an algorithm for disparity estimation that specifically targets short baseline camera arrays and an alignment algorithm that minimizes visual artifacts even in the presence of disparity errors. Finally, we present results using our algorithm on real world videos captured using a camera array to demonstrate the success of this application. |
Year | Venue | Keywords |
---|---|---|
2017 | 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | High Dynamic Range (HDR) imaging, camera arrays, multi-exposure, fusion, disparity estimation |
Field | DocType | ISSN |
Computer vision,Visual artifact,Dynamic range,Visualization,Computer science,Camera array,Photography,Radiometry,Artificial intelligence,High-dynamic-range imaging,High dynamic range | Conference | 1522-4880 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kalpana Seshadrinathan | 1 | 943 | 40.70 |
Oscar Nestares | 2 | 134 | 12.37 |