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HDR Multiview Image Sequence Generation
- Publication Year :
- 2017
- Publisher :
- Elsevier, 2017.
-
Abstract
- High dynamic range (HDR) imaging and stereoscopic 3D are active research fields, with challenges posed in various directions: acquisition, processing, and display. This chapter analyzes the latest advances in stereo HDR imaging acquisition from multiple exposures, in order to highlight the current progress toward a common target: stereoscopic 3D HDR video. A method to build multiscopic HDR images from low dynamic range (LDR) multiexposures is proposed. This method is based on a patch-match algorithm which has been adapted and improved to take advantage of epipolar geometry constraints of stereo images. Experimental results show accurate matching between stereo images that allow generating HDR for each LDR view of the sequence.
- Subjects :
- Low dynamic range
Matching (graph theory)
business.industry
Computer science
Epipolar geometry
05 social sciences
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020207 software engineering
Stereoscopy
02 engineering and technology
GeneralLiterature_MISCELLANEOUS
050105 experimental psychology
law.invention
law
Image sequence
0202 electrical engineering, electronic engineering, information engineering
0501 psychology and cognitive sciences
Computer vision
Artificial intelligence
business
High dynamic range
ComputingMethodologies_COMPUTERGRAPHICS
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi...........9ed04c63b2b1e4bf30de079244707ebb
- Full Text :
- https://doi.org/10.1016/b978-0-12-809477-8.00003-0