Depth Image-Based Rendering (DIBR) allows the creation of virtual camera viewpoints from a 2D image and its corresponding disparity map. This enables a variety of new applications in 3D film post-production where disp...
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The Sentinel-1 mission is a polar-orbiting satellite constellation for the continuation of C-band Synthetic Aperture Radar (SAR) applications. Contrary to its predecessor instruments onboard of ENVISAT and RADARSAT, t...
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ISBN:
(纸本)9781467311601
The Sentinel-1 mission is a polar-orbiting satellite constellation for the continuation of C-band Synthetic Aperture Radar (SAR) applications. Contrary to its predecessor instruments onboard of ENVISAT and RADARSAT, the Sentinel-1 satellites will be operated following a predefined and fixed baseline acquisition scenario. This will significantly facilitate the development of fully automatic processing chains for the generation of higher-level geophysical products and their uptake in applications. This paper gives an overview of the potential use of Sentinel-1 for land applications, discussing different land cover products (permanent water bodies, forest/non-forest, rice) and parameters of high relevance for hydrological monitoring (soil moisture, snow and freeze/thaw status, surface inundation).
One aspect of user preference, which is of high interest especially for the field of e-learning, concerns the mode of presenting information: What sensory system(s) should be addressed to make information interesting ...
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This paper investigates motion estimation and segmentation of independently moving objects in video sequences from a range camera. Specifically, we present a motion estimation algorithm which is based on fusion of ran...
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This paper investigates motion estimation and segmentation of independently moving objects in video sequences from a range camera. Specifically, we present a motion estimation algorithm which is based on fusion of range flow and optical flow constraint equations. The flow fields are used to derive long-term point trajectories. A segmentation technique groups the trajectories according to their motion and depth similarity into spatio-temporal objects. We show results on a real world scene captured with a time of flight camera.
In contrast to stepping, tracing is a debugging technique that does not suspend the execution. This technique is more suitable for debugging programs whose correctness is compromised by the suspension of execution. In...
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In contrast to stepping, tracing is a debugging technique that does not suspend the execution. This technique is more suitable for debugging programs whose correctness is compromised by the suspension of execution. In this work we present a tool for visually tracing Java programs in Eclipse. Trace point hits are collected on a per-instance basis. This enables finding out which trace points were hit for which objects at which time. The interactive visualization provides detailed information about the hits such as thread, stack trace, and assigned values. We implemented the tool as an Eclipse plug in that integrates with other features of Eclipse Java debugger. In an informal evaluation, developers appreciated the utility of our method as a solution in the middle between full tracing and stop-and-go debugging. They suggested scenarios in which our tool can help them in debugging and understanding their programs.
The Eclipse Java debugger uses an indented list to view arrays at runtime. This visualization provides limited insight into the array. Also, it is cumbersome and time-consuming to search for certain values at an unkno...
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The Eclipse Java debugger uses an indented list to view arrays at runtime. This visualization provides limited insight into the array. Also, it is cumbersome and time-consuming to search for certain values at an unknown index. We present a new Eclipse plug in for visualizing large arrays and collections while debugging Java programs. The plug in provides three views to visualize the data. These views are designed to support different tasks more efficiently. A tabular view gives detailed information about the elements in the array, such as the value of their field variables. A line chart aims to depict the values of a numerical field over the array. Lastly, bar charts and histograms show how the values of a field are distributed. We show how these views can be used to explore linear data structures and hashes from the Collections Framework. The plug in features tight integration with the Eclipse IDE, and is freely available as an open-source project. Developers' feedback confirmed the utility of the plug in to explore large arrays in real-world scenarios.
Learning strategies are typically tested in rather conventional test settings, using questionnaires or observation as a method of information acquisition. However, such conventional test settings are far from the test...
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Learning strategies are typically tested in rather conventional test settings, using questionnaires or observation as a method of information acquisition. However, such conventional test settings are far from the test taker's everyday life situation and might therefore evoke stress. Embedding a learning strategies test into an educational computer game, provides several advantages over the conventional testing procedure: The test takers can stay in their familiar learning environment and even learn something during the process of being tested. We conducted an explorative study by testing 24 pupils, comparing the outcome of a conventional learning strategies test conducted by a psychologist with the results obtained by our GETOLS method. The high similarity of results strongly supports our approach.
Depth Image-Based Rendering (DIBR) allows the creation of virtual camera viewpoints from a 2D image and its corresponding disparity map. This enables a variety of new applications in 3D film post-production where disp...
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Depth Image-Based Rendering (DIBR) allows the creation of virtual camera viewpoints from a 2D image and its corresponding disparity map. This enables a variety of new applications in 3D film post-production where disparities can be computed in an automatic way from the stereoscopic content. Examples include scene depth correction, content re-mastering and multi-view generation for auto-stereoscopic displays. In this paper, a comparison of state-of-the-art DIBR techniques in the context of 3D video adaptation is presented. We first provide an evaluation method that enables subjective comparison of the visual quality of DIBR-generated 3D film sequences. Based on this, we then evaluate the impact of image artifacts on the visual comfort and the depth impression for four different DIBR approaches.
Although motion analysis has been extensively investigated in the literature and a wide variety of tracking algorithms have been proposed, the problem of tracking objects using the Dynamic Vision Sensor requires a sli...
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Although motion analysis has been extensively investigated in the literature and a wide variety of tracking algorithms have been proposed, the problem of tracking objects using the Dynamic Vision Sensor requires a slightly different approach. Dynamic Vision Sensors are biologically inspired vision systems that asynchronously generate events upon relative light intensity changes. Unlike conventional vision systems, the output of such sensor is not an image (frame) but an address events stream. Therefore, most of the conventional tracking algorithms are not appropriate for the DVS data processing. In this paper, we introduce algorithm for spatiotemporal tracking that is suitable for Dynamic Vision Sensor. In particular, we address the problem of multiple persons tracking in the occurrence of high occlusions. We investigate the possibility to apply Gaussian Mixture Models for detection, description and tracking objects. Preliminary results prove that our approach can successfully track people even when their trajectories are intersecting.
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