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Scientific Publications

Image Guided Cost Aggregation for Hierarchical Depth Map Fusion
Citation key 1404Borgmann2013
Author Thilo Borgmann and Thomas Sikora
Title of Book International Conference on Computer Vision Theory and Applications (VISAPP)
Year 2013
Month feb
Organization INSTICC
Abstract Estimating depth from a video sequence is still a challenging task in computer vision with numerous applica- tions. Like other authors we utilize two major concepts developed in this field to achieve that task which are the hierarchical estimation of depth within an image pyramid as well as the fusion of depth maps from different views. We compare the application of various local matching methods within such a combined approach and can show the relative performance of local image guided methods in contrast to commonly used fixed–window aggregation. Since efficient implementations of these image guided methods exist and the available hardware is rapidly enhanced, the disadvantage of their more complex but also parallel computation vanishes and they will become feasible for more applications.
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