Electronics and Telecommunications Research Institute

Man-Hee Lee

Chang-Joon Park

Chang-Woo Chu

Sang-Woo Park

Byung-Chul Bae

Hye-Sun Kim

E-Joong Yoon

Dong-Wan Ryoo

Jung-Jae Yu

Kyung-Kyu Kang

Deok-Jin Kim

Yun-Ji Ban

Chul-Woo Lee

Sung-Ryoul Lee

Young-Han Choi

Byoung-Jin Han

Disclosed herein are a method and apparatus for matching 3D terrain information based on aerial images captured at different altitudes. The method includes receiving a high-altitude numerical height model based on a terrain image captured at a specific high altitude; receiving 3D terrain information observed from a low altitude, which is generated based on a terrain image captured at an altitude lower than the specific high altitude; generating a low-altitude numerical height model by converting the 3D terrain information into a numerical model in the same form as the high-altitude numerical height model; measuring the cross-correlation between the high-altitude numerical height model and the low-altitude numerical height model, thereby calculating matching parameters for enabling the low-altitude numerical height model to match the high-altitude numerical height model; and adjusting the geospatial coordinates of the 3D terrain information based on the matching parameters and outputting georeferenced 3D terrain information in the same coordinate system as the high-altitude numerical height model.

Method and apparatus for matching 3-dimensional terrain information using heterogeneous altitude aerial images

Disclosed herein are an apparatus and method for reconstructing a 3D model. The apparatus for reconstructing a 3D model includes an image acquisition unit for acquiring multi-view images by receiving image signals captured by multiple drones using cameras, a geometric calibration unit for estimating motion variables of the drones based on the acquired multi-view images, and a 3D model creation unit for reconstructing a 3D model of a dynamic object from the matched multi-view images using a multi-view stereo method.

Apparatus for reconstructing 3D model and method for using the same

A referer verification apparatus and method for controlling web traffic having malicious code are provided. In the referer verification method, whether a referer is present in a Hypertext Transfer Protocol (HTTP) packet is determined. If it is determined that the referer is present in the HTTP packet, Uniform Resource Locators (URLs) are extracted from a referer web page corresponding to the referer. The referer is verified based on a URL corresponding to a referer verification request received from a server and the extracted URLs. A Completely Automated Public Test to tell Computers and Humans Apart (CAPTCHA) verification procedure conducted by a user is performed based on results of the verification of the referer.

Referer verification apparatus and method

A system and method for detecting network intrusion by using a network processor are provided. The intrusion detection system includes: a first intrusion detector, configured to use a first network processor to perform intrusion detection on layer 3 and layer 4 of a protocol field among information included in a packet header of a packet transmitted to the intrusion detection system, and when no intrusion is detected, classify the packets according to stream and transmit the classified packets to a second intrusion detector; and a second intrusion detector, configured to use a second network processor to perform intrusion detection through deep packet inspection (DPI) for the packet payload of the packets transmitted from the first intrusion detector. Thereby, intrusion detection for high-speed packets can be performed in a network environment.

Two-stage intrusion detection system for high-speed packet processing using network processor and method thereof

Growing community of inventors

Daejeon, South Korea

Man-Hee Lee