2011
DOI: 10.1007/978-3-642-25367-6_26
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FAW for Multi-exposure Fusion Features

Abstract: Abstract. This paper introduces a process where fusion features assist matching scale invariant feature transform (SIFT) image features from high contrast scenes. FAW defines the order for extracting features: features, alignment then weighting. The process uses three quality measures to select features from a series of differently exposed images and select a subset of the features in favour of those areas that are defined as well exposed from the different images. The results show an advantage in using these … Show more

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