• Journal of Korea Multimedia Society
• /
• v.16 no.12
• /
• pp.1357-1367
• /
• 2013

Recently, as one of images based methods in facial expression recognition, the research which used ULBP block histogram feature and SVM classifier was performed. Due to the properties of LBP introduced by Ojala, such as highly distinction capability, durability to the illumination changes and simple operation, LBP is widely used in the field of image recognition. In this paper, we combined $LBP_{8,2}$ and $LBP_{8,1}$ to describe micro features in addition to shift, size change in calculating ULBP block histogram. From sub-windows of 660 of $LBP_{8,1}$ and 550 of $LBP_{8,2}$, ULBP histogram feature of 1210 were extracted and weak classifiers of 50 were generated using AdaBoost. By using the combined $LBP_{8,1}$ and $LBP_{8,2}$ hybrid type of ULBP histogram feature and SVM classifier, facial expression recognition rate could be improved and it was confirmed through various experiments. Facial expression recognition rate of 96.3% by hybrid boosted ULBP block histogram showed the superiority of the proposed method.

• Journal of Korea Society of Industrial Information Systems
• /
• v.15 no.5
• /
• pp.11-17
• /
• 2010

In this parer, face recognition method which can be applied to ITCS (interactive TV control system) is proposed. We extracted ULBP(uniform local binary pattern) histogram feature from infra-red images, and we detected left-right eyes and face region by using SVM classifier. Then, We implemented face recognition system which is using Gabor transform and ULBP histogram feature and applied to personal verification for ITCS.

• Journal of Life Science
• /
• v.33 no.2
• /
• pp.149-157
• /
• 2023

Transforming growth factor-β (TGF-β) is a multifunctional cytokine that affects not only the survival and growth of cancer cells but also the activity of immune cells. Although it has been generally accepted that cancer cell-derived TGF-β could promote the survival and growth of early cancer cells and have immunosuppressive roles, it has been known that TGF-β has differential effects according to the type or stage of cancer cells. Therefore, it is hard to clearly define its role in cancer progression and immune responses. This study investigated the effects of TGF-β signaling on the expression of five NKG2D ligands and the NK cell-mediated anticancer immune response in the primary colon cancer cell line KM12C and its two metastatic cell lines, KM12SM and KM12L4A. At the surface protein level, exogenous TGF-β decreased the expression of MICA, MICB, ULBP1, and ULBP2, and galunisertib increased the expression of MICA, MIAB, ULBP1, ULBP2, and ULBP3 in KM12C. However, KM12SM and KM12L4A showed no significant changes in the expression of NKG2DLs after treatment with TGF-β or galunisertib. TGF-β signaling inhibition via galunisertib improved the NK cell-mediated anticancer immune response against KM12C but did not show a significant response to KM12SM and KM12L4A. Therefore, the suppression of TGF-β signaling could improve the NK cell-mediated anticancer immune response against KM12C. However, an increase in NKG2DLs expression and an enhanced NK cell-mediated cancer immune response is hard to expect due to the alteration of TGF-β signaling in KM12SM and KM12L4A.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06a
• /
• pp.446-449
• /
• 2011

얼굴 인식 성능을 저해하는 환경으로 인한 축구 비디오에서의 낮은 선수 인식률과 제한된 해공간의 문제점을 해결하는 차원에서 본 논문에서는 다음과 같은 특징을 갖는 얼굴 인식 기반의 축구선수 인식 방법론을 제안한다: 1) 조명 변화에 민감하지 않은 얼굴 표현 방법인 ULBP를 사용하여 얼굴 인식 성능을 향상시킨다; 2) 얼굴 인식 성능을 저해하는 다양한 환경에서도 이미 강인한 성능이 검증된 SRC를 선수 식별 과정에 적용함으로써 안정적이고 높은 선수 식별 성능을 보장한다; 3) 클로즈업 샷뿐만 아니라 미디엄 샷의 정면, 준정면, 측면 얼굴 이미지를 대상으로 선수 식별의 해공간을 확장한다; 4) SRC의 점증적 갱신 학습 능력으로 축구 선수 얼굴 데이터베이스의 변화에도 능동적으로 적응한다. 실제 2010년 남아프리카 공화국 월드컵의 스페인 경기를 대상으로 제안된 방법론의 성능을 실험적으로 검증한다.

• Journal of Digital Contents Society
• /
• v.13 no.2
• /
• pp.189-195
• /
• 2012

In this paper, face detection method in NIR(Near-InfraRed) images for human recognition is proposed. Edge histogram based on edge intensity and its direction, has been used to detect effectively faces on NIR image. The edge histogram descripts and discriminates face effectively because it is strong in environment of lighting change. SVM(Support Vector Machine) has been used as a classifier to detect face and the proposed method showed better performance with smaller features than in ULBP(Uniform Local Binary Pattern) based method.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.49 no.2
• /
• pp.61-74
• /
• 2012

In this paper, we propose a illumination-robust face recognition system using MCS-LBP and 2D-PCA algorithm. A binary pattern transform which has been used in the field of the face recognition and facial expression, has a characteristic of robust to illumination. Thus, this paper propose MCS-LBP which is more robust to illumination than previous LBP, and face recognition system fusing 2D-PCA algorithm. The performance evaluation of proposed system was performed by using various binary pattern images and well-known face recognition features such as PCA, LDA, 2D-PCA and ULBP histogram of gabor images. In the process of performance evaluation, we used a YaleB face database, an extended YaleB face database, and a CMU-PIE face database that are constructed under varying lighting condition, and the proposed system which consists of MCS-LBP image and 2D-PCA feature show the best recognition accuracy.

• Journal of Life Science
• /
• v.23 no.10
• /
• pp.1216-1222
• /
• 2013

NK cells are lymphoid immune cells that participate in innate immunity to protect against foreign pathogens and transforming cells. It is known that the activity of NK cells is regulated by a balance between activating and inhibitory signals rather than specific antigens. One important activating signal is mediated by the NKG2D receptor, which recognizes NKG2D ligands on cancer cells. Therefore, tumor cells that express sufficient amounts of NKG2D ligands could be eliminated by NKD2D+ cells, including NK cells. Oncogenes drive tumor cells to apoptosis resistant and uncontrolled proliferation by altered expression of many critical genes. Therefore, the expression of NKG2D ligands may be affected by oncogenes. This study focused on increasing the susceptibility of cancer cells to NK cells by regulating the expression of NKG2D ligands influenced by three oncogenes: k-ras, wnt, and c-myc. We demonstrated that inhibition of k-ras and c-myc increased the expression of NKG2D ligands and enhanced the susceptibility of cancer cells to NK cells. On the contrary, inhibition of the wnt pathway decreased MICA and ULBP1 transcripts. Although the decreased transcription of NKG2D ligands by inhibition of the wnt pathway, surface proteins of NKG2D ligands were not changed, and the susceptibility of HCT-116 cells was unaffected. The results demonstrate that the transcription of NKG2D ligands are regulated deferentially by the k-ras, c-myc, and wnt pathways and that the cytotoxicity of NK cells solely depends on the amount of surface NKG2D ligands.