IAPR International Workshop on Machine Vision Applications最新文献_第2页

Photometric Linearization under Near Point Light Sources 近点光源下的光度线性化

IAPR International Workshop on Machine Vision Applications Pub Date : 2006-07-01 DOI: 10.1093/ietisy/e89-d.7.2004

Satoshi Sato, K. Takata, K. Nobori

引用次数: 3

Detecting Faces in Low-resolution Images 低分辨率图像中的人脸检测

IAPR International Workshop on Machine Vision Applications Pub Date : 2006-01-13 DOI: 10.1007/11612032_79

Shinji Hayashi, O. Hasegawa

引用次数: 3

Statistical Optimization for 3-D Reconstruction from a Single View 单视图三维重建的统计优化

IAPR International Workshop on Machine Vision Applications Pub Date : 2005-10-01 DOI: 10.1093/ietisy/e88-d.10.2260

K. Kanatani, Y. Sugaya

引用次数: 13

Detection and Estimation of Omni-Directional Pointing Gestures Using Multiple Cameras 多摄像头全方位指向手势的检测与估计

IAPR International Workshop on Machine Vision Applications Pub Date : 2001-09-01 DOI: 10.1541/IEEJEISS1987.121.9_1388

Hiroki Watanabe, H. Hongo, M. Yasumoto, Kazuhiko Yamamoto

{"title":"Detection and Estimation of Omni-Directional Pointing Gestures Using Multiple Cameras","authors":"Hiroki Watanabe, H. Hongo, M. Yasumoto, Kazuhiko Yamamoto","doi":"10.1541/IEEJEISS1987.121.9_1388","DOIUrl":"https://doi.org/10.1541/IEEJEISS1987.121.9_1388","url":null,"abstract":"We propose a multi-camera system that can detect omni-directional pointing gestures and estimate the direction of pointing. In general, when a human points at something, their target exists directly in front of the direction they are facing. Therefore, we regard the direction of pointing as the direction represented by the straight line that connects the face position with the hand position. First, the multiple cameras detect the face region by skin colors and estimate the face direction with the discrete face direction feature classes. Second, we estimate the precise direction that the subject is facing with the integrated information from multiple cameras and decide which camera captures the frontal view of the face the best. This camera is labeled the center camera. Third, we select a pair of cameras on both sides of the center camera as a stereo camera and detect the spatial positions of the face and hand. Finally, the target that the subject is pointing to is found on the straight line that connects the face position with the hand position. Experiments show that out system can achieve a mean error of 1.94\" with a variance of 4.37 throughout the pointing direction.","PeriodicalId":295384,"journal":{"name":"IAPR International Workshop on Machine Vision Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122305055","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: 10

Robust Image Registration Using Selective Correlation Coefficient 基于选择性相关系数的鲁棒图像配准

IAPR International Workshop on Machine Vision Applications Pub Date : 2001-04-01 DOI: 10.1541/ieejeiss1987.121.4_800

Yutaka Sato, S. Kaneko, S. Igarashi

引用次数: 12

Generating Facial Image Eye-Contacting with Partner on the TV Conference Environment 电视会议环境下与合作伙伴眼神接触的面部图像生成

IAPR International Workshop on Machine Vision Applications Pub Date : 1999-11-19 DOI: 10.1142/9789812791993_0003

Tsuyoshi Yamaguchi, M. Tominaga, K. Murakami, H. Koshimizu

{"title":"Generating Facial Image Eye-Contacting with Partner on the TV Conference Environment","authors":"Tsuyoshi Yamaguchi, M. Tominaga, K. Murakami, H. Koshimizu","doi":"10.1142/9789812791993_0003","DOIUrl":"https://doi.org/10.1142/9789812791993_0003","url":null,"abstract":"We have been developing the method for facial part recognition such as eyes, nose, mouth, etc. This paper pays attention especially to eye (iris) recognition by I lough transform. Basing on this iris recognition, this paper proposes a basic idea and its method for re-generation of facial image which is eye-contacting with partner on the TV conference environment. Through this we propose a new methodology to realize a natural human interface of the face-to-face conimunication on the TV conference environment. Since human is likely to look at the face of his partner on TV monitor not at TV camera, he will usually fail to send his own eye-contacted facial images to him. The basic idea of this paper to improve this fatal cotnmunication degradation is to regenerate facial itnagc by changing the tlirt'clion of the irises in the sarne original facial itnagc. The proposed methods and some experimental rcsults are presented to demonstrate the effectivity atlcl the coming inherent subjects. Future problems arc to ilnprovc the regeneratior1 method of irises, to introd~lcc thc real time processing method, to cope with the tnolion of the head and finally to propose a new cyc-calncltr system which coulcl reduce tllc constrait~ts cauerrl by the head ~iiouted goggle.","PeriodicalId":295384,"journal":{"name":"IAPR International Workshop on Machine Vision Applications","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126242034","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: 7

Model Driven 3-D Shape Reconstruction by Matching Synthesized Images with Actual Images 模型驱动的合成图像与实际图像匹配的三维形状重建

IAPR International Workshop on Machine Vision Applications Pub Date : 1996-04-15 DOI: 10.7210/JRSJ.14.454

H. Matsui, Y. Nomura, S. Fujii

引用次数: 0

Multi Light Sources Range Finder System 多光源测距系统

IAPR International Workshop on Machine Vision Applications Pub Date : 1991-12-15 DOI: 10.7210/JRSJ.9.803

T. Yoshimi, M. Oshima

{"title":"Multi Light Sources Range Finder System","authors":"T. Yoshimi, M. Oshima","doi":"10.7210/JRSJ.9.803","DOIUrl":"https://doi.org/10.7210/JRSJ.9.803","url":null,"abstract":"This paper describes a new range finder system which projects multi light planes. The purpose of the system is to get 3-D data of objects at high speed and with high accuracy. To realize the purpose two new techniques are introduced. One of the techniques is its optical system: each light source is composed of a laser diode and a cylindrical lens, and projects a light plane on the object. Fifteen light sources are located on a circle around a rotating mirror so that light planes are converged on the axis of rotation. A CCD camera takes the image of the light planes projected via the mirror. For each rotation angle, the light sources are turned on and off according to a specified code so that the light sources can be identified from the image data. Then, the mirror rotates to project light planes to other parts of the object. Another technique is the pre-processing circuit: it converts, in real time, video data from camera into reliable 2-D information of light planes appearing in the image. Due to the result that essential information is extracted with the circuit, size of output is drastically reduced. In this process, the 1/10 pixel accuracy of detected position data is achieved with a special interpolation scheme by a hard-wired computing circuit.","PeriodicalId":295384,"journal":{"name":"IAPR International Workshop on Machine Vision Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1991-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132102363","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: 12

Tracking Soccer Player Using Multiple Views 使用多个视图跟踪足球运动员

IAPR International Workshop on Machine Vision Applications Pub Date : 1900-01-01 DOI: 10.11485/ITETAIKAI.2003S.0.87.0

Sachiko Iwase, H. Saito

引用次数: 27

Adaptive Background Estimation and Shadow Removal in Indoor Scenes 室内场景的自适应背景估计和阴影去除

IAPR International Workshop on Machine Vision Applications Pub Date : 1900-01-01 DOI: 10.1016/B978-044451813-2/50038-5

Junya Morita, Y. Iwai, M. Yachida

引用次数: 1