Deep photo

Johannes Kopf; Boris Neubert; Billy Chen; Michael Cohen; Daniel Cohen‐Or; Oliver Deußen; Matt Uyttendaele; Dani Lischinski

doi:10.1145/1409060.1409069

Abstract

In this paper, we introduce a novel system for browsing, enhancing, and manipulating casual outdoor photographs by combining them with already existing georeferenced digital terrain and urban models. A simple interactive registration process is used to align a photograph with such a model. Once the photograph and the model have been registered, an abundance of information, such as depth, texture, and GIS data, becomes immediately available to our system. This information, in turn, enables a variety of operations, ranging from dehazing and relighting the photograph, to novel view synthesis, and overlaying with geographic information. We describe the implementation of a number of these applications and discuss possible extensions. Our results show that augmenting photographs with already available 3D models of the world supports a wide variety of new ways for us to experience and interact with our everyday snapshots.

Keywords

Computer scienceVariety (cybernetics)TerrainOverlayComputer graphics (images)Process (computing)Computer visionArtificial intelligenceGeographyCartography

Affiliated Institutions

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Publication Info

Year: 2008
Type: article
Volume: 27
Issue: 5
Pages: 1-10
Citations: 715
Access: Closed

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APA Style

                            
                                
                                    Johannes Kopf, 
                                
                                    Boris Neubert, 
                                
                                    Billy Chen
                                
                                et al.
                            
                            (2008). 
                            Deep photo. 
                            ACM Transactions on Graphics
                            , 27
                            (5)
                            , 1-10.
                            https://doi.org/10.1145/1409060.1409069
                        

Identifiers

DOI: 10.1145/1409060.1409069

Data Quality

Data completeness: 77%