Electronics and Telecommunications Research Institute

Jong Gook Ko

Seung Jae Lee

Keun Dong Lee

Kyo Il Chung

Weon Geun Oh

Youn Hee Gil

Jang Hee Yoo

Da Un Jung

Hyung Kwan Son

Jeong Nyeo Kim

Jae Deok Lim

Won Young Yoo

Su Woong Lee

Sung Kyong Eun

So Young Doo

Joon Suk Yu

An apparatus and method for searching for a building on the basis of an image and a method of constructing a building search database (DB) for image-based building search. The method includes constructing a building search DB, receiving a query image from a user terminal, detecting a region to which a building belongs in the query image, extracting features of the region detected in the query image, and searching the building search DB for a building matching the extracted features. Therefore, building search performance can be improved.

Apparatus and method for searching for building based on image and method of constructing building search database for image-based building search

A fast object detection method and a fast object detection apparatus using an artificial neural network. The fast object detection method includes obtaining an input image; inputting the obtained input image into an object detection neural network using a plurality of preset bounding boxes; and detecting an object included in the input image by acquiring output data of the object detection neural network.

Method and apparatus for high speed object detection using artificial neural network

A machine learning method for learning how to form bounding boxes, performed by a machine learning apparatus, includes extracting learning images including a target object among a plurality of learning images included in a learning database, generating additional learning images in which the target object is rotated from the learning images including the target object, and updating the learning database using the additional learning images.

Machine learning method and apparatus

An iris recognition method is provided. In the iris recognition method, binary image data is obtained by receiving eye image data and filtering the received eye image data using a predetermined threshold value. Then, candidate center search regions are searched for finding a pupil center using profile information of rows and columns of the binarized image. a pupil boundary and a center point are detected by performing a mask operation using 8 pupil boundary mask templates for each of concentric circles formed of pointes in the searched candidate center search regions as candidate pupil centers and different radiuses. An iris boundary region is detected by performing a masking operation using 6 iris boundary mask templates corresponding to 6 locations for concentric circles formed of the pupil center as an origin and different radiuses.

Iris recognition method and apparatus thereof

A method of iris recognition using a cumulative-sum-based change point analysis and an apparatus using the same are disclosed. The method includes: transforming an iris image to a polar coordinated image having n&#xd7;m pixel size and dividing the polar coordinated image into at least one cell; grouping the divided iris images into at least one of first groups having a predetermined number of cells, and at least one of second groups each having more cells than the first group has; performing a cumulative-sum-based change point analysis using a predetermined characteristic pattern value of each cell as a representative value; and generating a pattern vector by assigning a predetermined value to a cell having the change point and assigning a different value to other cells.

Method of iris recognition using cumulative-sum-based change point analysis and apparatus using the same

Disclosed is an access control method using a token having security attributes in a computer system when a user gains access to a specific file. The computer system adopts a token having encryption, modification, execution, and provision attributes to determine access permission or access denial between a user and a file in such a way that a file access request is controlled. The access control method enciphers a file and stores the enciphered file in a storage unit, so that it can maintain security of the file even though the storage unit is stolen. The access control method enables a system manager to read only enciphered contents of the file when the system manager performs a data backup operation, thereby eliminating limitations in commonly operating a system simultaneously with maintaining file security. The access control method enables programs for executing operations on behalf of a user to automatically obtain a corresponding token, confirms authority to execute the file, and prevents that the authority is stolen or drained due to a program error.

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Daejeon, South Korea

Jong Gook Ko