The Faculty of Agriculture: Browsing Landwirtschaftliche Fakultät by Classification (DDC) "ddc:004"
Now showing items 21-31 of 31
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Robust Wide-Baseline Stereo Matching for Sparsely Textured Scenes
(2011-08-19)The task of wide baseline stereo matching algorithms is to identify corresponding elements in pairs of overlapping images taken from significantly different viewpoints. Such algorithms are a key ingredient to many computer ... -
Robust Wide-Baseline Stereo Matching for Sparsely Textured Scenes
(2013)The task of wide baseline stereo matching algorithms is to identify corresponding elements in pairs of overlapping images taken from significantly different viewpoints. Such algorithms are a key ingredient to many computer ... -
Sequential Learning Using Incremental Import Vector Machines for Semantic Segmentation
(2012-10-24)We propose an innovative machine learning algorithm called incremental import vector machines that is used for classification purposes. The classifier is specifically designed for the task of sequential learning, in which ... -
Sequential learning using incremental import vector machines for semantic segmentation
(2013)We propose an innovative machine learning algorithm called incremental import vector machines that is used for classification purposes. The classifier is specifically designed for the task of sequential learning, in which ... -
Spatio-Temporal Registration Techniques for Agricultural Robots
(2021-06-16)A critical challenge that we face today is to meet the rising demand for food, feed, fiber, and fuel from an ever-growing world population. We must meet this demand within the limited arable land available to us and do so ... -
Statistical relational learning of semantic models and grammar rules for 3D building reconstruction from 3D point clouds
(2016-11-04)Formal grammars are well suited for the estimation of models with an a-priori unknown number of parameters such as buildings and have proven their worth for 3D modeling and reconstruction of cities. However, the generation ... -
Tractable Learning for a Class of Global Discriminative Models for Context Sensitive Image Interpretation
(2012-10-24)We propose a class of conditional Markov random fields for context sensitive image interpretation. The proposed class includes multi-class models with affine log-potential functions and with pairwise label interactions ... -
Visual Odometry and Sparse Scene Reconstruction for UAVs with a Multi-Fisheye Camera System
(2019-06-13)Autonomously operating UAVs demand a fast localization for navigation, to actively explore unknown areas and to create maps. For pose estimation, many UAV systems make use of a combination of GPS receivers and inertial ... -
Visual Place Recognition in Changing Environments
(2019-10-10)Localization is an essential capability of mobile robots and place recognition is an important component of localization. Only having precise localization, robots can reliably plan, navigate and understand the environment ... -
A water storage reanalysis over the European continent: assimilation of GRACE data into a high-resolution hydrological model and validation
(2019-04-18)Continental water storage and redistribution within the Earth’s system are key variables of the terrestrial water cycle. Changes in water storage and fluxes may affect resources for drinking water and irrigation, lead to ... -
A water storage reanalysis over the European continent: assimilation of GRACE data into a high-resolution hydrological model and validation
(2019-04-18)<p>Continental water storage and redistribution within the Earth’s system are key variables of the terrestrial water cycle. Changes in water storage and fluxes may affect resources for drinking water and irrigation, lead ...
