| 000 | 04324nla2a2200493 4500 | ||
|---|---|---|---|
| 001 | 653460 | ||
| 005 | 20231030041221.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\18901 | ||
| 035 | _aRU\TPU\network\18900 | ||
| 090 | _a653460 | ||
| 100 | _a20170303a2017 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 105 | _ay z 100zy | ||
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aMethods of Automatic Face Angle Recognition for Life Support and Safety Systems _fS. G. Nebaba [et al.] |
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| 203 |
_aText _celectronic |
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| 300 | _aTitle screen | ||
| 320 | _a[References: p. 743-744 (13 tit.)] | ||
| 330 | _aThe vision of the surrounding and people that are within eyeshot influences the human well-being and safety. The rationale of system development that allows recognizing faces from difficult perspectives online and informing timely about approaching people is undisputed. The manuscript describes the methods of automatic detection of equilibrium face points in the bitmap image and methods of forming 3D face model. The optimal search algorithm for equilibrium points has been chosen. The method of forming 3D face model basing on a single bitmap image and building up the face image rotated to the preset angle has been proposed. The algorithm for estimating the angle and algorithm of the face image rotation have been implemented. The manuscript also reviews the existing methods of forming 3D face model. The algorithm for the formation of 3D face model from a single bitmap image and a set of individual 3D models have been proposed as well as the algorithm for forming different face angles with the calculated 3D face model aimed to create biometric vectors cluster. Operation results of the algorithm for face images formation from different angles have been presented. | ||
| 461 | 0 |
_0(RuTPU)RU\TPU\network\11959 _tThe European Proceedings of Social & Behavioural Sciences (EpSBS) |
|
| 463 | 0 |
_0(RuTPU)RU\TPU\network\18772 _tVol. 19 : Lifelong Wellbeing in the World (WELLSO 2016) _oIII International Scientific Symposium, 11-16 September 2016, Tomsk, Russian Federation _o[proceedings] _fNational Research Tomsk Polytechnic University (TPU) ; eds. F. Casati ; G. A. Barysheva _v[P. 735-744] _d2017 |
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| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _acomputer vision | |
| 610 | 1 | _aface recognition | |
| 610 | 1 | _aface position estimation | |
| 610 | 1 | _aactive shape models | |
| 610 | 1 | _a3D face model | |
| 610 | 1 | _adeformable face model | |
| 610 | 1 | _aкомпьютерное зрение | |
| 610 | 1 | _aраспознавание лиц | |
| 610 | 1 | _a3D-модели | |
| 701 | 1 |
_aNebaba _bS. G. _cmathematician _cLaborant of Tomsk Polytechnic University _f1989- _gStepan Gennadievich _2stltpush _3(RuTPU)RU\TPU\pers\32604 |
|
| 701 | 1 |
_aZakharova _bA. A. _cspecialist in the field of informatics and computer technology _cProfessor of Tomsk Polytechnic University, Doctor of technical sciences _f1972- _gAlena Alexandrovna _2stltpush _3(RuTPU)RU\TPU\pers\33631 |
|
| 701 | 1 |
_aSidorenko _bT. V. _clinguist _cAssociate Professor of Tomsk Polytechnic University, Candidate of pedagogical sciences _f1976- _gTatiana Valerievna _2stltpush _3(RuTPU)RU\TPU\pers\31687 |
|
| 701 | 1 |
_aViitman _bV. R. _cSpecialist in the field of engineering graphics and descriptive geometry _cAssociate Professor of Tomsk Polytechnic University _f1954- _gViktor Robertovich _2stltpush _3(RuTPU)RU\TPU\pers\38034 |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет (ТПУ) _bИнститут кибернетики (ИК) _bКафедра инженерной графики и промышленного дизайна (ИГПД) _h7273 _2stltpush _3(RuTPU)RU\TPU\col\18737 |
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет (ТПУ) _bИнститут кибернетики (ИК) _bКафедра иностранных языков института кибернетики (ИЯИК) _h6714 _2stltpush _3(RuTPU)RU\TPU\col\18707 |
| 801 | 2 |
_aRU _b63413507 _c20180220 _gRCR |
|
| 856 | 4 | _uhttp://dx.doi.org/10.15405/epsbs.2017.01.97 | |
| 856 | 4 | _uhttp://earchive.tpu.ru/handle/11683/37317 | |
| 942 | _cCF | ||