Kinect sensor depth data filtering; Mechanical Engineering, Automation and Control Systems (MEACS)
| Parent link: | Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.] |
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| Sumari: | Title screen This paper presents techniques to eliminate flickering pixels and fill irregular shaped patches and gaps in depth information obtained from the Microsoft Kinect. Due to the limitations of the structured light technology used by the Kinect, a significant noise occurs when capturing depth information. The paper proposes an approach based on the Kalman filter and image in-painting techniques in order to improve the temporal stability of the depth map and fill occlusion areas. Depth data from current frame and previous frame are combined. The coefficient of combination responds to the rate of depth map changes. The filtrated depth frames are included iteratively in the filtering process. Finally, the missing depth areas are obtained applying an image in-painting technique based on the fast marching method. The proposed approach can be used as a preprocessing stage before using the depth data for image recognition purposes. Режим доступа: по договору с организацией-держателем ресурса |
| Idioma: | anglès |
| Publicat: |
2014
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| Accés en línia: | http://dx.doi.org/10.1109/MEACS.2014.6986855 |
| Format: | xMaterials Electrònic Capítol de llibre |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638972 |
MARC
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| 200 | 1 | |a Kinect sensor depth data filtering |f V. R. Duseev, A. N. Malchukov | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 22 tit.] | ||
| 330 | |a This paper presents techniques to eliminate flickering pixels and fill irregular shaped patches and gaps in depth information obtained from the Microsoft Kinect. Due to the limitations of the structured light technology used by the Kinect, a significant noise occurs when capturing depth information. The paper proposes an approach based on the Kalman filter and image in-painting techniques in order to improve the temporal stability of the depth map and fill occlusion areas. Depth data from current frame and previous frame are combined. The coefficient of combination responds to the rate of depth map changes. The filtrated depth frames are included iteratively in the filtering process. Finally, the missing depth areas are obtained applying an image in-painting technique based on the fast marching method. The proposed approach can be used as a preprocessing stage before using the depth data for image recognition purposes. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 463 | 0 | |0 (RuTPU)RU\TPU\network\3200 |t Mechanical Engineering, Automation and Control Systems (MEACS) |o proceedings of the International Conference, Tomsk, 16-18 October, 2014 |f National Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE) |v [4 p.] |d 2014 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a Kinect sensor | |
| 610 | 1 | |a depth sensing camera | |
| 610 | 1 | |a Kalman jilter | |
| 610 | 1 | |a fast marching method | |
| 610 | 1 | |a tn-painting techniques | |
| 610 | 1 | |a depth map preprocessing | |
| 610 | 1 | |a датчики | |
| 610 | 1 | |a зондирование | |
| 610 | 1 | |a данные | |
| 610 | 1 | |a глубина | |
| 700 | 1 | |a Duseev |b V. R. | |
| 701 | 1 | |a Malchukov |b A. N. |c specialist in the field of informatics and computer technology |c Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences |f 1982- |g Andrey Nikolaevich |2 stltpush |3 (RuTPU)RU\TPU\pers\32409 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет (ТПУ) |b Институт кибернетики (ИК) |b Кафедра вычислительной техники (ВТ) |h 126 |2 stltpush |3 (RuTPU)RU\TPU\col\18699 |
| 801 | 2 | |a RU |b 63413507 |c 20161226 |g RCR | |
| 856 | 4 | |u http://dx.doi.org/10.1109/MEACS.2014.6986855 | |
| 942 | |c CF | ||