Detailed Information on Publication Record
2014
FaceMatch: Face Detection and Recognition Technology
SEDMIDUBSKÝ, Jan, Vladimír MÍČ and Pavel ZEZULABasic information
Original name
FaceMatch: Face Detection and Recognition Technology
Authors
SEDMIDUBSKÝ, Jan (203 Czech Republic, guarantor, belonging to the institution), Vladimír MÍČ (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution)
Edition
2014
Other information
Language
English
Type of outcome
Software
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/00216224:14330/14:00073224
Organization unit
Faculty of Informatics
Keywords in English
face detection; face retrieval; face technology fusion
Technical parameters
The more detailed information about this technology along with the information about software acquisition is available at: http://disa.fi.muni.cz/trac/facesys/.
Odpovědná osoba pro jednání: prof. Ing. Pavel Zezula, CSc., Fakulta informatiky, Masarykova univerzita, Botanická 68a, Brno, tel.: 54949 7992
Tags
Tags
International impact
Změněno: 23/5/2015 12:55, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
FaceMatch is a software technology for detecting and retrieving similar human faces on photographs. A collection of photographs is firstly preprocessed to automatically detect human faces which are stored into a database. Then a user can initiate the retrieval process to locate the database faces which are the most similar to a query face. The main advantages of the proposed technology are abilities to achieve (1) high retrieval efficiency by organizing the database faces within an index structure and (2) high detection and retrieval quality by integrating any number of existing face detection and matching functions. The more functions are provided, the more quality of detection and retrieval is assumed. The current version of the FaceMatch technology is demonstrated via a web application that effectively integrates three face detection and matching functions.
Links
VG20122015073, research and development project |
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