Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Gyu-tae Park is active.

Publication


Featured researches published by Gyu-tae Park.


computer vision and pattern recognition | 2006

Multiple Face Model of Hybrid Fourier Feature for Large Face Image Set

Wonjun Hwang; Gyu-tae Park; Jong Ha Lee; Seok-Cheol Kee

The face recognition system based on the only single classifier considering the restricted information can not guarantee the generality and superiority of performances in a real situation. To challenge such problems, we propose the hybrid Fourier features extracted from different frequency bands and multiple face models. The hybrid Fourier feature comprises three different Fourier domains; merged real and imaginary components, Fourier spectrum and phase angle. When deriving Fourier features from three Fourier domains, we define three different frequency bandwidths, so that additional complementary features can be obtained. After this, they are individually classified by Linear Discriminant Analysis. This approach makes possible analyzing a face image from the various viewpoints to recognize identities. Moreover, we propose multiple face models based on different eye positions with a same image size, and it contributes to increasing the performance of the proposed system. We evaluated this proposed system using the Face Recognition Grand Challenge (FRGC) experimental protocols known as the largest data sets available. Experimental results on FRGC version 2.0 data sets has proven that the proposed method shows better verification rates than the baseline of FRGC on 2D frontal face images under various situations such as illumination changes, expression changes, and time elapses.We present a comparison of several face representation methods from the point of view of their sensitivity to illumination changes. The sensitivity is measured in terms of the overlap of the distributions of normalized correlations used for inter class and intra class image comparisons. The result suggests, that better illumination invariance could be achieved in feature spaces in the frequency domain derived for a differentiated image rather than using the original input image


British Journal of Dermatology | 2006

Tob is a potential marker gene for the basal layer of the epidermis and is stably expressed in human primary keratinocytes

Gyu-tae Park; E.Y. Seo; K.M. Lee; Duck-Hyung Lee; Jun-Mo Yang

Background  Epidermis consists of multiple layers, from the proliferating basal layer to terminal differentiated cornified layers, and these layers are defined by differentiation status. Tob gene product is known to be a member of the BTG antiproliferative protein family. We investigated the expression pattern of Tob gene product to understand the possible role in differentiation of keratinocytes and epidermis.


Archive | 2006

Imaging apparatus, medium, and method using infrared rays with image discrimination

Gyu-tae Park


Archive | 2006

Scalable face recognition method and apparatus based on complementary features of face image

Gyu-tae Park; Jong-ha Lee; Seok-Cheol Kee; Wonjun Hwang


Archive | 2007

Method and apparatus for generating face descriptor using extended local binary patterns, and method and apparatus for face recognition using extended local binary patterns

Xiangsheng Huang; Wonjun Hwang; Jiali Zhao; Young-Su Moon; Gyu-tae Park


Archive | 2005

Apparatus and method for extracting moving objects from video

Maolin Chen; Gyu-tae Park


Archive | 2007

Liveness detection method and apparatus of video image

Gyu-tae Park; Haitao Wang; Young-Su Moon


Archive | 2006

Face recognition method and apparatus

Jong-ha Lee; Gyu-tae Park; Seok-Cheol Kee


Archive | 2007

Object pose normalization method and apparatus and object recognition method

Gyu-tae Park; Haitao Wang; Young-Su Moon


Archive | 2007

Method and apparatus for calculating similarity of face image, method and apparatus for retrieving face image, and method of synthesizing face image

Wonjun Hwang; Eui-Hyeon Hwang; Young-Su Moon; Gyu-tae Park

Collaboration


Dive into the Gyu-tae Park's collaboration.

Researchain Logo
Decentralizing Knowledge