The Kips Transactions:partb最新文献_第10页

3D Fingertip Estimation based on the TOF Camera for Virtual Touch Screen System 基于TOF相机的虚拟触摸屏系统三维指尖估计

The Kips Transactions:partb Pub Date : 2010-08-31 DOI: 10.3745/KIPSTB.2010.17B.4.287

Min-Wook Kim, Yangkeun Ahn, Kwang-Mo Jung, Chil-Woo Lee

{"title":"3D Fingertip Estimation based on the TOF Camera for Virtual Touch Screen System","authors":"Min-Wook Kim, Yangkeun Ahn, Kwang-Mo Jung, Chil-Woo Lee","doi":"10.3745/KIPSTB.2010.17B.4.287","DOIUrl":"https://doi.org/10.3745/KIPSTB.2010.17B.4.287","url":null,"abstract":"ABSTRACT TOF technique is one of the skills that can obtain the object's 3D depth information. But depth image has low resolution and fingertip occupy very small region, so, it is difficult to find the precise fingertip's 3D information by only using depth image from TOF camera. In this paper, we estimate fingertip's 3D location using Arm Model and reliable hand's 3D location information that is modified by hexahedron as hand model. Using proposed method we can obtain more precise fingertip's 3D information than using only depth image.Keywords:Virtual Touch Screen, TOF, Fingertip Tracking, Hand Modeling, Image Processing 1. 서 론 1) 오랫동안 키보드와 마우스는 컴퓨터의 입력도구로 사용되었다. 하지만 최근에는 터치스크린이 개발되어서 실제 모니터 화면의 정보를 보고 화면 속의 버튼이나 스크롤 등을 손가락이나 펜을 이용하여 조절함으로써 정보를 컴퓨터에 입력할 수 있게 되었다. 터치스크린은 평소 키보드 자판이나 마우스에 익숙하지 않은 유아들이나 노인, 몸이 불편한 장애인들의 컴퓨터 이용을 편리하게 해준다. ※본 연구는 기존의지식경제부 및 정보통신산업진흥원의 대학 IT연구센터 지원사업(NIPA-2010-C1090-1011-0008)과 지식경제부의 “차세대 지능형 정보전자핵심기술개발사업”의 연구결과로 수행되었음.†준 회 원:전남대학교 전자컴퓨터 공학부 박사과정††정 회 원:전자부품연구원(KETI) 선임연구원†††정 회 원:전자부품연구원(KETI) 실감정보플랫폼 연구센터 센터장 ††††정 회 원:전남대학교 전자컴퓨터공학부 교수(교신저자)논문접수:2010년 지2월 11일수 정 일:1차 2010년 5월 14일심사완료:2010년 6월 7일","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127562034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Medical Image Registration by Combining Gradient Vector Flow and Conditional Entropy Measure 结合梯度向量流和条件熵测度的医学图像配准

The Kips Transactions:partb Pub Date : 2010-08-31 DOI: 10.3745/KIPSTB.2010.17B.4.303

Myungeun Lee, Soohyung Kim, Sun-Worl Kim, J. H. Lim

引用次数: 0

Detection of Music Mood for Context-aware Music Recommendation 情境感知音乐推荐的音乐情绪检测

The Kips Transactions:partb Pub Date : 2010-08-31 DOI: 10.3745/KIPSTA.2010.17B.4.263

Jong-In Lee, D. Yeo, Byeong-Man Kim

{"title":"Detection of Music Mood for Context-aware Music Recommendation","authors":"Jong-In Lee, D. Yeo, Byeong-Man Kim","doi":"10.3745/KIPSTA.2010.17B.4.263","DOIUrl":"https://doi.org/10.3745/KIPSTA.2010.17B.4.263","url":null,"abstract":"ABSTRACT To provide context-aware music recommendation service, first of all, we need to catch music mood that a user prefers depending on his situation or context. Among various music characteristics, music mood has a close relation with people’s emotion. Based on this relationship, some researchers have studied on music mood detection, where they manually select a representative segment of music and classify its mood. Although such approaches show good performance on music mood classification, it's difficult to apply them to new music due to the manual intervention. Moreover, it is more difficult to detect music mood because the mood usually varies with time.To cope with these problems, this paper presents an automatic method to classify the music mood. First, a whole music is segmented into several groups that have similar characteristics by structural information. Then, the mood of each segments is detected, where each individual's preference on mood is modelled by regression based on Thayer's two-dimensional mood model. Experimental results show that the proposed method achieves 80% or higher accuracy.Keywords:Context-aware Music Recommendation; Musical Genre Classification; Musical Structure Analysis; Salient Segment Detection; Content-based Musical Feature Extraction","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125702862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

High-Capacity Reversible Watermarking through Predicted Error Expansion and Error Estimation Compensation 基于预测误差扩展和误差估计补偿的大容量可逆水印

The Kips Transactions:partb Pub Date : 2010-08-31 DOI: 10.3745/KIPSTA.2010.17B.4.275

Hae-Yeoun Lee, Kyung-Su Kim

{"title":"High-Capacity Reversible Watermarking through Predicted Error Expansion and Error Estimation Compensation","authors":"Hae-Yeoun Lee, Kyung-Su Kim","doi":"10.3745/KIPSTA.2010.17B.4.275","DOIUrl":"https://doi.org/10.3745/KIPSTA.2010.17B.4.275","url":null,"abstract":"Reversible watermarking which can preserve the original quality of the digital contents and protect the copyright has been studied actively. Especially, in medical, military, and art fields, the need for reversible watermarking is increasing. This paper proposes a high-capacity reversible watermarking through predicted error expansion and error estimation compensation. Watermark is embedded by expanding the difference histogram between the original value and the predicted value. Differently from previous methods calculating the difference between adjacent pixels, the presented method calculates the difference between the original value and the predicted value, and that increases the number of the histogram value, where the watermark is embedded. As a result, the high capacity is achieved. The inserted watermark is extracted by restoring the histogram between the original value and the predicted value. To prove the performance, the presented algorithm is compared with other previous methods on various test images. The result supports that the presented algorithm has a perfect reversibility, a high image quality, and a high capacity.","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132554071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Question Classification Based on Word Association for Question and Answer Archives 基于词关联的问答档案问题分类

The Kips Transactions:partb Pub Date : 2010-08-31 DOI: 10.3745/KIPSTB.2010.17B.4.327

Xu Jin, K. Lee

引用次数: 1

Real Time Lip Reading System Implementation in Embedded Environment 嵌入式环境下实时唇读系统的实现

The Kips Transactions:partb Pub Date : 2010-06-30 DOI: 10.3745/KIPSTB.2010.17B.3.227

Young-Un Kim, Sun-Kyung Kang, Sung-Tae Jung

{"title":"Real Time Lip Reading System Implementation in Embedded Environment","authors":"Young-Un Kim, Sun-Kyung Kang, Sung-Tae Jung","doi":"10.3745/KIPSTB.2010.17B.3.227","DOIUrl":"https://doi.org/10.3745/KIPSTB.2010.17B.3.227","url":null,"abstract":"This paper proposes the real time lip reading method in the embedded environment. The embedded environment has the limited sources to use compared to existing PC environment, so it is hard to drive the lip reading system with existing PC environment in the embedded environment in real time. To solve the problem, this paper suggests detection methods of lip region, feature extraction of lips, and awareness methods of phonetic words suitable to the embedded environment. First, it detects the face region by using face color information to find out the accurate lip region and then detects the exact lip region by finding the position of both eyes from the detected face region and using the geometric relations. To detect strong features of lighting variables by the changing surroundings, histogram matching, lip folding, and RASTA filter were applied, and the properties extracted by using the principal component analysis(PCA) were used for recognition. The result of the test has shown the processing speed between 1.15 and 2.35 sec. according to vocalizations in the embedded environment of CPU 806Mhz, RAM 128MB specifications and obtained 77% of recognition as 139 among 180 words were recognized.","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130609686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Easy Camera-Projector Calibration Technique for Structured Light 3-D Reconstruction 一种用于结构光三维重建的简单摄像机-投影仪校准技术

The Kips Transactions:partb Pub Date : 2010-06-30 DOI: 10.3745/KIPSTB.2010.17B.3.215

Soon-Yong Park, G. Park, Lei Zhang

引用次数: 2

Leukocyte Segmentation using Saliency Map and Stepwise Region-merging 基于显著性图和逐步区域合并的白细胞分割

The Kips Transactions:partb Pub Date : 2010-06-30 DOI: 10.3745/KIPSTB.2010.17B.3.239

JaWon Gim, ByoungChul Ko, J. Nam

{"title":"Leukocyte Segmentation using Saliency Map and Stepwise Region-merging","authors":"JaWon Gim, ByoungChul Ko, J. Nam","doi":"10.3745/KIPSTB.2010.17B.3.239","DOIUrl":"https://doi.org/10.3745/KIPSTB.2010.17B.3.239","url":null,"abstract":"ABSTRACT Leukocyte in blood smear image provides significant information to doctors for diagnosis of patient health status. Therefore, it is necessary step to separate leukocyte from blood smear image among various blood cells for early disease prediction. In this paper, we present a saliency map and stepwise region merging based leukocyte segmentation method. Since leukocyte region has salient color and texture, we create a saliency map using these feature map. Saliency map is used for sub-image separation. Then, clustering is performed on each sub-image using mean-shift. After mean-shift is applied, stepwise region-merging is applied to particle clusters to obtain final leukocyte nucleus. The experimental results show that our system can indeed improve segmentation performance compared to previous researches with average accuracy rate of 71%.Keywords:Saliency Map, Mean-shift, Stepwise Region-merging, Leukocyte Segmentation 1. 서 론 1) 혈액 세포 영상에서 백혈구의 비율은 환자의 건강상태를 파악하는데 중요한 정보를 제공하며, 이를 통해 백혈병과 같은 질병을 초기에 예측할 수 있다[1]. 혈액을 이용한 질병 예측을 위해 개발된 자동혈구 측정검사(Automatic Complete Bood Cell Count: ACBC) 방법은 임상검사실에서 시행하는 다빈도 혈액 검사의 하나로 각종 혈구 세포들의 수를 측정하여 질병 진단에 필요한 기본적인 정보를 제공한다. 일반","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131594030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Layered Video Quality Incentive Mechanism for Peer-to-Peer Video Streaming 点对点视频流的分层视频质量激励机制

The Kips Transactions:partb Pub Date : 2010-06-30 DOI: 10.3745/KIPSTB.2010.17B.3.189

Budiono Wibowo, J. Kwon

引用次数: 0

Multiple-Classifier Combination based on Image Degradation Model for Low-Quality Image Recognition 基于图像退化模型的多分类器组合低质量图像识别

The Kips Transactions:partb Pub Date : 2010-06-30 DOI: 10.3745/KIPSTB.2010.17B.3.233

Sangjin Ryu, In-Jung Kim

引用次数: 1