Zobrazeno 1 - 10
of 20
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-
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
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 (
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,
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
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
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
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.