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Titlebook: Bin-Picking; New Approaches for a Dirk Buchholz Book 2016 Springer International Publishing Switzerland 2016 3D Point Clouds.Bin-Picking.Co

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樓主
發(fā)表于 2025-3-21 18:06:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Bin-Picking
期刊簡稱New Approaches for a
影響因子2023Dirk Buchholz
視頻videohttp://file.papertrans.cn/187/186266/186266.mp4
發(fā)行地址Presents three full approaches to solve the bin-picking problem: based on normal maps, using depth maps, and based on point clouds in combination with depth maps.Explains the three approaches in detai
學(xué)科分類Studies in Systems, Decision and Control
圖書封面Titlebook: Bin-Picking; New Approaches for a Dirk Buchholz Book 2016 Springer International Publishing Switzerland 2016 3D Point Clouds.Bin-Picking.Co
影響因子.This bookis devoted to one of the most famous examples of automation handling tasks –the “bin-picking” problem. To pick up objects, scrambled in a box is aneasy task for humans, but its automation is very complex. In this book threedifferent approaches to solve the bin-picking problem are described, showinghow modern sensors can be used for efficient bin-picking as well as how classicsensor concepts can be applied for novel bin-picking techniques. 3D pointclouds are firstly used as basis, employing the known Random Sample Matchingalgorithm paired with a very efficient depth map based collision avoidancemechanism resulting in a very robust bin-picking approach. Reducing thecomplexity of the sensor data, all computations are then done on depth maps.This allows the use of 2D image analysis techniques to fulfill the tasks andresults in real time data analysis. Combined with force/torque and accelerationsensors, a near time optimal bin-picking system emerges. Lastly, surfacenormalmaps are employed as a basis for pose estimation. In contrast to knownapproaches, the normal maps are not used for 3D data computation but directlyfor the object localization problem, enabling the application
Pindex Book 2016
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沙發(fā)
發(fā)表于 2025-3-21 21:36:13 | 只看該作者
978-3-319-79963-6Springer International Publishing Switzerland 2016
板凳
發(fā)表于 2025-3-22 03:36:13 | 只看該作者
3D Point Cloud Based Pose Estimation,tables. After successful localization, a collision avoidance mechanism is introduced reducing the problem’s complexity by interpreting the point clouds as depth maps and using 2D image analysis. The chapter is concluded by the presentation of experiments demonstrating the potential of the approach.
地板
發(fā)表于 2025-3-22 06:47:12 | 只看該作者
Normal Map Based Pose Estimation,shots. By analyzing normal histograms (Extended Gaussian Images) the orientation is computed, to then get the position. The position estimation is described in 2 different ways, one two step and one single step approach which is capable of delivering accurate positions using a monocular camera. Experiments close the chapter.
5#
發(fā)表于 2025-3-22 08:44:07 | 只看該作者
Dirk BuchholzPresents three full approaches to solve the bin-picking problem: based on normal maps, using depth maps, and based on point clouds in combination with depth maps.Explains the three approaches in detai
6#
發(fā)表于 2025-3-22 12:53:16 | 只看該作者
7#
發(fā)表于 2025-3-22 19:01:17 | 只看該作者
Bin-Picking978-3-319-26500-1Series ISSN 2198-4182 Series E-ISSN 2198-4190
8#
發(fā)表于 2025-3-22 22:01:08 | 只看該作者
9#
發(fā)表于 2025-3-23 03:01:47 | 只看該作者
https://doi.org/10.1007/978-3-319-74757-6shots. By analyzing normal histograms (Extended Gaussian Images) the orientation is computed, to then get the position. The position estimation is described in 2 different ways, one two step and one single step approach which is capable of delivering accurate positions using a monocular camera. Experiments close the chapter.
10#
發(fā)表于 2025-3-23 05:31:34 | 只看該作者
Italian and Italian American Studiesthis chapter gives a brief summary of the history of bin-picking. Starting from the very first approaches on visual scene analysis by Roberts, many approaches in the context of object pose estimation are summarized, ending in the description of modern bin-picking approaches. The chapter is closed by
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