Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Heung-Jun Kim"'
Publikováno v:
Journal of the Korea Industrial Information Systems Research. 22:53-60
An Optical Character Recognition Method using a Smartphone Gyro Sensor for Visually Impaired Persons
Autor:
Heung-Jun Kim, Soon-Kak Kwon
Publikováno v:
Journal of the Korea Industrial Information Systems Research. 21:13-20
Autor:
Soon-Kak Kwon, Heung-Jun Kim
Publikováno v:
Journal of Korea Multimedia Society. 19:774-779
Autor:
Soon-Kak Kwon, Heung-Jun Kim
Publikováno v:
Journal of Korea Multimedia Society. 18:1383-1390
By according to the development of the mobile devices, a touch screen provides the variety of inputting character and the flexibility of user interface. Currently, the physically simple touch method is widely used for English input but this simple to
Publikováno v:
IMIS
Active Shape Model (ASM) is one of the most popular local texture model for detecting region of interest for face and locating facial features. This paper implements an efficient extraction method of facial feature points to utilize on iPhone. We ext
Publikováno v:
Computers & Mathematics with Applications. 63(2):511-517
Localizing an object within an image is a common task in the field of computer vision, and represents the first step towards the solution of the recognition problem. This paper presents an efficient approach to object localization for image retrieval
Autor:
Heung Jun Kim, Sei Il Son
Publikováno v:
The KIPS Transactions:PartD. :915-920
Publikováno v:
The KIPS Transactions:PartD. :601-608
Publikováno v:
COMPUTING AND INFORMATICS; Vol 30, No 6 (2011): Computing and Informatics; 1115-1129
This paper presents a novel method that automatically indexes searches for relevant images using a combination of geo-coded information and content-based visual features. Photographic images are labeled with their corresponding GPS (Global Positionin
Publikováno v:
IMIS
Localizing an object in an image is a common task in the field of computer vision, and correlograms are often used for content-based image retrieval. This paper proposes an efficient object localization algorithm for query-by-sub region. The new algo