DocumentCode :
1723145
Title :
Composition Context Photography
Author :
Vaquero, Daniel ; Turk, Matthew
fYear :
2015
Firstpage :
649
Lastpage :
656
Abstract :
Cameras are becoming increasingly aware of the picture-taking context, collecting extra information around the act of photographing. This contextual information enables the computational generation of a wide range of enhanced photographic outputs, effectively expanding the imaging experience provided by consumer cameras. Computer vision and computational photography techniques can be applied to provide image composites, such as panoramas, high dynamic range images, and stroboscopic images, as well as automatically selecting individual alternative frames. Our technology can be integrated into point-and shoot cameras, and it effectively expands the photographic possibilities for casual and amateur users, who often rely on automatic camera modes.
Keywords :
computer vision; photography; automatic camera modes; composition context photography; computational generation; computational photography techniques; computer vision; high dynamic range images; image composites; panoramas; picture-taking context; point-and shoot cameras; stroboscopic images; Cameras; Context; Dynamic range; Image sensors; Photography; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Computer Vision (WACV), 2015 IEEE Winter Conference on
Conference_Location :
Waikoloa, HI
Type :
conf
DOI :
10.1109/WACV.2015.92
Filename :
7045946
Link To Document :
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