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Titlebook: Computer Vision Systems; 9th International Co Mei Chen,Bastian Leibe,Bernd Neumann Conference proceedings 2013 Springer-Verlag Berlin Heide

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樓主: BROOD
11#
發(fā)表于 2025-3-23 09:52:58 | 只看該作者
Autonomous Robot Navigation: Path Planning on a Detail-Preserving Reduced-Complexity Representation of every node encountered, indexed in a priority sequence given by its cumulative cost. Experiments show the entire dataflow, from input data to path planning, being done in less than 700ms on a modern computer on datasets typically having 10. points.
12#
發(fā)表于 2025-3-23 15:27:01 | 只看該作者
13#
發(fā)表于 2025-3-23 19:40:31 | 只看該作者
https://doi.org/10.1007/978-1-4020-2712-3 It formulates an improved multipath model and designs a compensation process in order to correct the multipath-related errors. A calibration of the ToF illumination supports the process. The proposed approach, moreover, allows to include an environment model. The positive impact of this process is demonstrated.
14#
發(fā)表于 2025-3-23 22:53:00 | 只看該作者
https://doi.org/10.1057/9780230112131, shape detection, object recognition and scene modelling into a complete system. We present some of the experiments from our ongoing work, where our system leverages a combination of algorithms to solve complex tasks.
15#
發(fā)表于 2025-3-24 02:23:16 | 只看該作者
,Holgrave’s Curious Conversion,s applied. We propose a novel scheme that can train several simple predictors together, enhancing the overall prediction accuracy. Experimental results confirm its effectiveness for head movement prediction.
16#
發(fā)表于 2025-3-24 08:03:38 | 只看該作者
17#
發(fā)表于 2025-3-24 10:44:54 | 只看該作者
18#
發(fā)表于 2025-3-24 18:03:23 | 只看該作者
A Head Pose Tracking System Using RGB-D Cameras applied. We propose a novel scheme that can train several simple predictors together, enhancing the overall prediction accuracy. Experimental results confirm its effectiveness for head movement prediction.
19#
發(fā)表于 2025-3-24 21:43:54 | 只看該作者
Conference proceedings 2013 papers are organized in topical sections on image and video capture; visual attention and object detection; self-localization and pose estimation; motion and tracking; 3D reconstruction; features, learning and validation.
20#
發(fā)表于 2025-3-25 01:02:26 | 只看該作者
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