Ñòàðîâîéòîâ Âàëåðèé Âàñèëüåâè÷
Ñòàðîâîéòîâ Âàëåðèé Âàñèëüåâè÷ (6 ñåíòÿáðÿ 1955ã). e-mail: valerys[ ] newman.bas-net.by
Îêîí÷èë ìåõàíèêî-ìàòåìàòè÷åñêèé ôàêóëüòåò (1977ã., ñïåö. ìàòåìàòèêà); àñïèðàíòóðó (1989ã.) è äîêòîðàíòóðó (1995ã.) Èíñòèòóòà òåõíè÷åñêîé êèáåðíåòèêè ÀÍ Áåëàðóñè (ñ 08.2002 Îáúåäèíåííûé èíñòèòóò ïðîáëåì èíôîðìàòèêè ÍÀÍ Áåëàðóñè). Ñ 1977ã. ïî íàñòîÿùåå âðåìÿ ðàáîòàåò â ÎÈÏÈ, â íàñòîÿùåå âðåìÿ – ãëàâíûé íàó÷íûé ñîòðóäíèê.
Êàíäèäàò òåõíè÷åñêèõ íàóê ñ 1990ã., äîêòîð òåõíè÷åñêèõ íàóê ñ 2000ã. (òåìà Ëîêàëüíî-ãåîìåòðè÷åñêèå ìåòîäû öèôðîâîé îáðàáîòêè âèäåîäàííûõ, ñïåö. 05.13.16 – Ïðèìåíåíèå âû÷èñëèòåëüíîé òåõíèêè, ìàòåìàòè÷åñêîãî ìîäåëèðîâàíèÿ è ìàò. ìåòîäîâ â íàó÷íûõ èññëåäîâàíèÿõ, 05.13.17 – Òåîðåòè÷åñêèå îñíîâû èíôîðìàòèêè). Ïðîôåññîð ñ 2003ã. (ñïåö. Èíôîðìàòèêà, óïðàâëåíèå è âû÷èñëèòåëüíàÿ òåõíèêà). Ïîäãîòîâèë 5 êàíäèäàòîâ íàóê.
Ðàáîòàë ïî ñîâìåñòèòåëüñòâó ïðîôåññîðîì ÁÃÓÈÐ, â íàñòîÿùåå âðåìÿ ïðîôåññîð ÌÈÄÎ ÁÍÒÓ.
Ëàóðåàò Ãîñóäàðñòâåííîé ïðåìèè Ðåñïóáëèêè Áåëàðóñü (2002ã.) â îáëàñòè íàóêè è òåõíèêè çà öèêë ðàáîò "Ðàñïîçíàâàíèå è àíàëèç ñòîõàñòè÷åñêèõ äàííûõ è öèôðîâûõ èçîáðàæåíèé", ëàóðåàò ïðåìèè Ëåíèíñêîãî êîìñîìîëà Áåëàðóñè (1990ã.)
Ñòàðîâîéòîâ Â.Â. ÿâëÿåòñÿ ñïåöèàëèñòîì â îáëàñòè îáðàáîòêè, àíàëèçà è ðàñïîçíàâàíèÿ öèôðîâûõ èçîáðàæåíèé. Èññëåäóåò è ðàçðàáàòûâàåò áèîìåòðè÷åñêèå ñèñòåìû ðàñïîçíàâàíèÿ ÷åëîâåêà, àëãîðèòìû îáðàáîòêè àýðî-êîñìè÷åñêèõ ñíèìêîâ è ìåäèöèíñêèõ èçîáðàæåíèé. ×ëåí îáùåñòâ IEEE, IAPR. Îïóáëèêîâàë áîëåå 150 ðàáîò â íàó÷íûõ æóðíàëàõ è òðóäàõ êîíôåðåíöèé, 2 ìîíîãðàôèè. H-èíäåêñ ðàâåí 4.
Îñíîâíûå ïóáëèêàöèè:
1. Ñòàðîâîéòîâ Â.Â. Ëîêàëüíûå ãåîìåòðè÷åñêèå ìåòîäû öèôðîâîé îáðàáîòêè è àíàëèçà èçîáðàæåíèé. Ìí.: ÈÒÊ ÍÀÍ Áåëàðóñè, 1997, 284ñ.
2. Starovoitov V., A clustering technique based on the distance transform, Pattern Recognition Letters, Vol.17, No.3, p.231-239, 1996.
3. Ñàìàëü Ä.È., Ñòàðîâîéòîâ Â.Â. – Ïîäõîäû è ìåòîäû ðàñïîçíàâàíèÿ ëþäåé ïî ôîòîïîðòðåòàì. – Ìèíñê, ÈÒÊ ÍÀÍÁ, 1998. – 54ñ. Â Google 133 ññûë.
4. V.Di Gesu and V.Starovoitov, Distance-based functions for image comparison. Pattern Recognition Letters, 1999, 207-214. Â Google 339 ññûëîê.
5. Ñàìàëü Ä.È., Ñòàðîâîéòîâ Â.Â. Ìåòîäèêà àâòîìàòèçèðîâàííîãî ðàñïîçíàâàíèÿ ëþäåé ïî ôîòîïîðòðåòàì // Öèôðîâàÿ îáðàáîòêà èçîáðàæåíèé. Ìèíñê:ÈÒÊ, 1999.-Ñ.81-85. Google ïðîöèòèðîâàíî 49.
6. Zamperoni P. and Starovoitov V., On measures of dissimilarity between arbitrary gray scale images, Int. Journal of Shape Modeling, Vol.2, No.2&3, p.189-213, 1996.
7. Starovoitov V., Jeong S.Y. and Park R.-H.,Texture periodicity detection: features, properties, and comparisons, IEEE Trans. on Systems, Man, and Cybernetics, Vol.28, No.6, 839-849, 1998. Â Google 100 ññûëîê.
8. V. Starovoitov and D. Samal, A geometric approach to face recognition, Proc. of Workshop Nonlinear Signal and Image Processing, vol. I, Antalya, Turkey, pp. 210-213, June 1999.
9. Starovoitov V. and Samal D. Comparison of rotation algorithms for digital images. Vision Geometry VIII, SPIE - Int. Soc. Opt. Eng. (USA), 346-56, vol.3811, 1999.
10. V. Starovoitov, D. Samal and B. Sankur, Matching of faces in camera images and document photographs, Proc. of Int.Conf. on Acoustic, Speech, and Signal Processing, vol. IV, Istanbul, pp.2349-2352, June 2000.
11. Áðèëþê Ä.Â., Ñòàðîâîéòîâ Â.Â. Ðàñïîçíàâàíèå ÷åëîâåêà ïî èçîáðàæåíèþ ëèöà íåéðîñåòåâûìè ìåòîäàìè. – Ìèíñê, 2002. – 54 ñ.  Google 204 ññûëêè.
12. V. Starovoitov, A. Makarau, I. Zakharov, D. Dovnar, Fusion of reconstructed multispectral images, Proc. IEEE Int. Geoscience and Remote Sensing Symposium, July 23-27, 2007, Barselona, Spain.
13. A. Maêaðîâ, Â. Ñòàðîâîéòîâ, Óâåëè÷åíèå ðàçðåøåíèÿ ìóëüòèñïåêòðàëüíûõ èçîáðàæåíèé â öåëÿõ äåøèôðèðîâàíèÿ // Èíôîðìàòèêà.- 2007, No.2.- Ñ.16–24.
14. À.Î. Ìàêàðîâ, Ñòàðîâîéòîâ Â.Â. Áûñòðàÿ îáðàáîòêà èçîáðàæåíèé íà îñíîâå èíòåãðàëüíûõ ìàòðèö èçîáðàæåíèé// Èñêóññòâåííûé èíòåëëåêò ¹ 3, 2006 ã. Ñ. 579-602.
15. Ìîíè÷ Þ.È., Ñòàðîâîéòîâ Â.Â., Îöåíêè êà÷åñòâà äëÿ àíàëèçà öèôðîâûõ èçîáðàæåíèé // Èñêóññòâåííûé èíòåëëåêò.- 2008.- ¹ 4.- Ñ. 376-386.
16. Ìîíè÷ Þ.È., Ñòàðîâîéòîâ Â.Â. Îáðàáîòêà èçîáðàæåíèé ðàäóæíîé îáîëî÷êè ãëàçà â öåëÿõ èäåíòèôèêàöèè ãðàíèö// Èñêóññòâåííûé èíòåëëåêò,2009.- ¹3.-Ñ.397-403.
17. Nedzved A., Starovoitov V. Nuclear Segmentation for high magnification of histology sample // VIPimage, Porto, Portugal, 14-16 Oct. 2009, P. 121-126.
18. Ìîíè÷ Þ.È., Ñòàðîâîéòîâ Â.Â. Íîâûé ïîäõîä ê ïîñòðîåíèþ êîäà ðàäóæíîé îáîëî÷êè ãëàçà // Èñêóññòâåííûé èíòåëëåêò.- 2010.- ¹ 3.- Ñ.356-363.
19. Nedzved A., Starovoitov V. Extraction of thin color pattern from images for histology investigation // IEEE World Congress on Computational Intelligence, Barselona, Spain, 18-23 July 2010, P.1922-1928.
20. Ìîíè÷ Þ.È., Ñòàðîâîéòîâ Â.Â. Âûáîð ðàçìåðà øàáëîíà ðàäóæíîé îáîëî÷êè ãëàçà äëÿ ðàñïîçíàâàíèÿ ëè÷íîñòè // Äîêëàäû ÁÃÓÈÐ, 2010.- ¹3.-Ñ.116-122.
21. Ìîíè÷ Þ.È., Ñòàðîâîéòîâ Â.Â., Ñàìàëü Ä.È. Ýêñïåðèìåíòàëüíûé êîìïëåêñ ïðîãðàìì ðàñïîçíàâàíèÿ ëè÷íîñòè ïî ðàäóæíîé îáîëî÷êå ãëàçà // Ýëåêòðîíèêà Èíôî.- 2010. - ¹5.- Ñ.65-68. ñ
22. Popov M.A., Starovoitov V.V., Stankevich S.A., Monich Y., Multispectral Imagery Fusion for Future Belarusian and Ukrainian Remote Sensing Satellites // Proc. 10th Int. Conf. on Pattern Recognition and Information Processing (PRIP’2009).- Minsk: Belarusian State University, 2009.- P.359-363
23. Ìîíè÷ Þ.È., Ñòàðîâîéòîâ Â.Â., Ïðåîáðàçîâàíèå öâåòíûõ èçîáðàæåíèé íà áàçå òåõíîëîãèè Ðåòèíåêñ // Èñêóññòâåííûé èíòåëëåêò, 2007, No.3, Ñ.256-261.
24. Ìàêàðîâ À.Î., Ñòàðîâîéòîâ Â.Â. Áûñòðûå àëãîðèòìû âû÷èñëåíèÿ ïðèçíàêîâ íà öèôðîâûõ èçîáðàæåíèÿõ.- Ìèíñê .- 39ñ. (Ïðåïðèíò ÎÈÏÈ, ¹ 1).
25. Starovoitov V., Samal.D., Three approaches for face recognition// 6th Int. Seminar on Science and Computing, 15-17 Sep. 2003, Moscow, Russia, P.332-335.
26. Íèêîäèìîâ Ä.Þ., Ñòàðîâîéòîâ Â.Â., Ðàñøèðåíèå îáó÷àþùåãî ìíîæåñòâà äëÿ íàñòðîéêè áèîìåòðè÷åñêèõ ñèñòåì ðàñïîçíàâàíèÿ // 4ÿ ìåæäóíàð. êîíô. Îáðàáîòêà èíôîðìàöèè è óïðàâëåíèå â ÷ðåçâû÷àéíûõ è ýêñòðåìàëüíûõ ñèòóàöèÿõ, 29 íîÿá.-1äåê. 2004, Ìèíñê, Áåëàðóñü, Ñ.204-209.
