| 000 | 03066nla2a2200457 4500 | ||
|---|---|---|---|
| 001 | 638972 | ||
| 005 | 20231030040303.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\3369 | ||
| 035 | _aRU\TPU\network\3365 | ||
| 090 | _a638972 | ||
| 100 | _a20150217a2014 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 105 | _aa z 101zy | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aKinect sensor depth data filtering _fV. R. Duseev, A. N. Malchukov |
|
| 203 |
_aText _celectronic |
||
| 300 | _aTitle screen | ||
| 320 | _a[References: 22 tit.] | ||
| 330 | _aThis 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 | _aРежим доступа: по договору с организацией-держателем ресурса | ||
| 463 | 0 |
_0(RuTPU)RU\TPU\network\3200 _tMechanical Engineering, Automation and Control Systems (MEACS) _oproceedings of the International Conference, Tomsk, 16-18 October, 2014 _fNational Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE) _v[4 p.] _d2014 |
|
| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _aKinect sensor | |
| 610 | 1 | _adepth sensing camera | |
| 610 | 1 | _aKalman jilter | |
| 610 | 1 | _afast marching method | |
| 610 | 1 | _atn-painting techniques | |
| 610 | 1 | _adepth map preprocessing | |
| 610 | 1 | _aдатчики | |
| 610 | 1 | _aзондирование | |
| 610 | 1 | _aданные | |
| 610 | 1 | _aглубина | |
| 700 | 1 |
_aDuseev _bV. R. |
|
| 701 | 1 |
_aMalchukov _bA. N. _cspecialist in the field of informatics and computer technology _cAssociate Professor of Tomsk Polytechnic University, Candidate of technical sciences _f1982- _gAndrey Nikolaevich _2stltpush _3(RuTPU)RU\TPU\pers\32409 |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет (ТПУ) _bИнститут кибернетики (ИК) _bКафедра вычислительной техники (ВТ) _h126 _2stltpush _3(RuTPU)RU\TPU\col\18699 |
| 801 | 2 |
_aRU _b63413507 _c20161226 _gRCR |
|
| 856 | 4 | _uhttp://dx.doi.org/10.1109/MEACS.2014.6986855 | |
| 942 | _cCF | ||