Ergebnisse für: multi-view
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This book provides timely studies on multi-view facets of data analytics by covering recent trends in processing and reasoning about data originating from an array of local sources. A multi-view nature of data analytics is encountered when working with a variety of real-world scenarios including clu...
This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching reader...
This book highlights research in linking and mining data from across varied data sources. The authors focus on recent advances in this burgeoning field of multi-source data fusion, with an emphasis on exploratory and unsupervised data analysis, an area of increasing significance with the pace of gro...
Multi-view video is a technique where a moving object or a scene is recorded using a setup of several synchronous cameras. By applying image-based rendering techniques, new views can be generated for arbitrary viewpoints and viewing angles. Even complex lighting conditions and surface characteristic...
This book provides timely studies on multi-view facets of data analytics by covering recent trends in processing and reasoning about data originating from an array of local sources. A multi-view nature of data analytics is encountered when working with a variety of real-world scenarios including clu...
This book provides timely studies on multi-view facets of data analytics by covering recent trends in processing and reasoning about data originating from an array of local sources. A multi-view nature of data analytics is encountered when working with a variety of real-world scenarios including clu...
This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching reader...
This book highlights research in linking and mining data from across varied data sources. The authors focus on recent advances in this burgeoning field of multi-source data fusion, with an emphasis on exploratory and unsupervised data analysis, an area of increasing significance with the pace of gro...
Super-resolution approaches aim at increasing the spatial resolution of a given low-resolution input image. Basically, respective methods can be grouped into single-image and multi-image approaches, which can be further subdivided, depending on whether temporally or spatially neighboring images are ...
In this work, the task of wide-area indoor people detection in a network of depth sensors is examined. In particular, we investigate how the redundant and complementary multi-view information, including the temporal context, can be jointly leveraged to improve the detection performance. We recast th...
Methods for Model-based and Model-free Recognition of Articulated Actions in Multi-View Environments
Analyzing and recognizing human actions automatically from continuous image sequences is one of the most important and popular problems in modern computer vision and machine learning research and is applied in manifold aspects of daily live. For instance, human motion can be analyzed in order to gai...
Präzise dreidimensionale (3D) Objektrekonstruktion ist für eine Vielzahl von Anwendungen wie digitale Erfassung, 3D-Druck und Reverse Engineering sehr gefragt. Mit der Entwicklung der Computer Vision und der Halbleitertechnologie haben moderne bildbasierte Methoden in diesem Bereich aufgrund der r...
Präzise dreidimensionale (3D) Objektrekonstruktion ist für eine Vielzahl von Anwendungen wie digitale Erfassung, 3D-Druck und Reverse Engineering sehr gefragt. Mit der Entwicklung der Computer Vision und der Halbleitertechnologie haben moderne bildbasierte Methoden in diesem Bereich aufgrund der r...
This book constitutes the proceedings of the 12th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2021, as well as the M&Ms-2 Challenge: Multi-Disease, Multi-View and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge.The 25 regular w...
This book constitutes the proceedings of the 12th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2021, as well as the M&Ms-2 Challenge: Multi-Disease, Multi-View and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge.The 25 regular w...
In this doctoral thesis, the possibilities of ground- and satellite-based multi-view measurements of clouds with modern photogrammetric methods are examined, with the objective to derive cloudbase/-top heights and motion. These parameters are important for a better description of clouds for nowcasti...