Luc Van Gool – författare

Thistimely and authoritative volume explores the bidirectional relationship betweenimages and locations. The text presents a comprehensive review of the state ofthe art in large-scale visual geo-localization, and discusses the emergingtrends in this area. Valuable insights are supplied by a pre-eminent selectionof experts in the field, into a varied range of real-world applications ofgeo-localization. Topics and features: discusses the latest methods to exploitinternet-scale image databases for devising geographically rich features andgeo-localizing query images at different scales; investigates geo-localizationtechniques that are built upon high-level and semantic cues; describes methodsthat perform precise localization by geometrically aligning the query imageagainst a 3D model; reviews techniques that accomplish image understandingassisted by the geo-location, as well as several approaches for geo-localizationunder practical, real-world settings.

Topics and features: discusses the latest methods to exploitinternet-scale image databases for devising geographically rich features andgeo-localizing query images at different scales;

This book constitutes the thoroughly refereed post-proceedings of the Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments, SMILE 2000, held in Dublin, Ireland in July 2000. The 12 revised full papers presented together with one invited paper and transcriptions of the panels following the three sessions were carefully reviewed and revised for inclusion in the book. The papers are organized in topical sections on computation and algorithms, visual scene representations, and extended environments.

This book constitutes the refereed proceedings of the 24th Symposium of the German Association for Pattern Recognition, DAGM 2002, held in Zurich, Switzerland, in September 2002. The 74 revised papers presented were carefully reviewed and selected from more than 140 submissions. The papers address all current issues in pattern recognition. The book offers topical sections on tracking, segmentation, 3D shape, optical flow, recognition, and spherical images.

The contributions in this volume give an overview of state-of-the-art results presented at the Workshop on 3D Structure from Multiple Images of Lar- scale Environments (SMILE). This workshop was held in conjunction with the Fifth European Conference on Computer Vision 1998 in Freiburg, Germany. SMILE was a joint e ort of the European ACTS projects VANGUARD and PANORAMA and the Esprit projectCUMULI, all of which are involved in the analysis and reconstruction of 3D scenes from image sequences. The potential for 3D reconstructions of scenes and objects is tremendous. Much of the work reported here is to be seen especially against the background of a convergence between computer vision and computer graphics, and of a shift from signal-based to content-based image analysis in telecommunications. - cordingly,the requirementsfor 3D modelsand acquisitionsystemsarealso shi- ing. Visualization rather than mensuration is the primary issue. The perceptual qualityofthe models,the?exibility ofthe acquisition,andthe costofthe system are three driving forces in the search for new methods. The last few years have seen important steps toward genuine ?exibility.A case in point is the use of multiple images to generate 3D models, without an explicit knowledgeof the relativeposition of the camerasor the camera settings. The same developments also hold good promise to make 3D acquisition cheaper and more widely available.

Machine learning builds models of the world using training data from the application domain and prior knowledge about the problem. The models are later applied to future data in order to estimate the current state of the world. An implied assumption is that the future is stochastically similar to the past. The approach fails when the system encounters situations that are not anticipated from the past experience. In contrast, successful natural organisms identify new unanticipated stimuli and situations and frequently generate appropriate responses. The observation described above lead to the initiation of the DIRAC EC project in 2006. In 2010 a workshop was held, aimed to bring together researchers and students from different disciplines in order to present and discuss new approaches for identifying and reacting to unexpected events in information-rich environments. This book includes a summary of the achievements of the DIRAC project in chapter 1, and a collection of the papers presented in this workshop in the remaining parts.