JOURNAL ARTICLE

High dynamic range imaging for stereoscopic scene representation

Abstract

This paper presents a method for generating high dynamic range and disparity images by simultaneously capturing the high and low exposure images using a pair of cameras. The proposed stereoscopic high dynamic range imaging technique is able to record multiple exposures without any time delay, and thus suitable for high dynamic range video synthesis. We have demonstrated that it is possible to construct the camera response function using a pair of images with different amount of exposure. The intensities of the stereo images can then be normalized for correspondence matching. Experiments using the Middlebury stereo datasets are presented.

Keywords:
Stereoscopy Computer vision Artificial intelligence Computer science High dynamic range High-dynamic-range imaging Range (aeronautics) Dynamic range Matching (statistics) Stereo imaging Representation (politics) Stereopsis Stereo image Computer graphics (images) Image (mathematics) Mathematics Engineering

Metrics

42
Cited By
1.55
FWCI (Field Weighted Citation Impact)
12
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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