Zobrazeno 1 - 10
of 76
pro vyhledávání: '"J. Karlekar"'
Publikováno v:
ICPR
Despite leaps in motion capture technology, the dichotomy between unencumbered vision-based motion recovery and the prevailing marker-assisted motion capture solution remains largely pertinent. This paper bridges the gap by introducing an attachment-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6a248de71802897db4f93f7f6a0d529
https://doi.org/10.1109/icpr.2008.4761158
https://doi.org/10.1109/icpr.2008.4761158
Publikováno v:
ICIP
A fully automatic 3D-2D articulated registration algorithm for aligning a whole-body human geometry to a 2D X-ray image is presented. Domain prior in the form of a hierarchical model encapsulating the kinematic structure of the human body is exploite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e45a2916a1a7c6f71b6acfacbebbfba0
https://doi.org/10.1109/icip.2008.4711953
https://doi.org/10.1109/icip.2008.4711953
Autor:
J. Karlekar, U.B. Desai
Publikováno v:
Proceedings of IEEE TENCON '98. IEEE Region 10 International Conference on Global Connectivity in Energy, Computer, Communication and Control (Cat. No.98CH36229).
We propose a new video coding scheme based on discrete wavelet transform (DWT), as it provides a better way to address scalability functionalities, than MPEG-2. To code wavelet coefficients efficiently, we use set partitioning in hierarchical trees (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31431c1f6e5cda69db3deaaef2f3cd5f
https://doi.org/10.1109/tencon.1998.797065
https://doi.org/10.1109/tencon.1998.797065
Publikováno v:
ICIP (2)
The embedded zerotree of the wavelet coefficient (EZW) algorithm has become an effective way of compressing images. The use of multistage vector quantizer (MSVQ) provides successive-approximation coding for vectors. A new algorithm is proposed that,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82d0d899f60b096f9e2e9bc88db33e7f
https://doi.org/10.1109/icip.1997.638845
https://doi.org/10.1109/icip.1997.638845
Autor:
J. Karlekar
Publikováno v:
ICIP (1)
Reliable transmission of compressed video is not possible without error recovery mechanisms as the existing communication channels are lossy. In this paper, we present an effective method of increasing the error resilience of the coded video data for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcb4b13188c623ca7aee98dc6ff4c05b
https://doi.org/10.1109/icip.2001.959209
https://doi.org/10.1109/icip.2001.959209
Autor:
J. Karlekar, U.B. Desai
Publikováno v:
ICASSP
Human face images form the important database in police departments, banks, security kiosks, and they are also found in abundance in day-to-day life. In these databases the important content, of course, is the face region. We present a highly efficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de4b37ff200e467719681e950e0b1ce9
https://doi.org/10.1109/icassp.2000.859309
https://doi.org/10.1109/icassp.2000.859309
Autor:
GONZÁLEZ-SABBAGH, SALMA P.1,2 sgonzalezsabbag@deakin.edu.au, ROBLES-KELLY, ANTONIO1,3 antonio.robles-kelly@deakin.edu.au
Publikováno v:
ACM Computing Surveys. 2023 Suppl13s, Vol. 55, p1-39. 39p.
Autor:
J. Karlekar, P.G. Poonacha, Uday B. Desai, M.M. Patil, R. Manivasakan, A. N. Rajagopalan, Subhasis Chaudhuri, K.S. Kumar
Publikováno v:
Scopus-Elsevier
ICCV
ICCV
Two new schemes are presented for finding human faces in a photograph. The first scheme approximates the unknown distributions of the face and the face-like manifolds wing higher order statistics (HOS). An HOS-based data clustering algorithm is also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97dd21e3c0439603fd134c7a7d0806d1
http://www.scopus.com/inward/record.url?eid=2-s2.0-0032318774&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-0032318774&partnerID=MN8TOARS
Akademický článek
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Autor:
HANG DU1 duhang@shu.edu.cn, HAILIN SHI2 shihialin@jd.com, DAN ZENG1 dzeng@shu.edu.cn, XIAO-PING ZHANG3 xzhang@ryerson.ca, TAO MEI2 tmei@jd.com
Publikováno v:
ACM Computing Surveys. 2022 Suppl 10, Vol. 54, p1-42. 42p.